AASD 4015 Project 2 - Build a New Hybrid CNN Classifer and Compare the Performance with 2 CNN Transfer Learning Models¶

Member: 1. Chun Cheong Mak (101409987) 2. Hei Yuet Lee (101409639)¶

The purpose of this project is to explore a way to build a new hybrid CNN classifer by calculating the cosine similarity of feature vectors of 2 different images. The project is inspired by the concept of ensemble learning discussed in the AASD 4000 - Machine Learning I and an article about image search using cosine similarity of feature vectors of 2 different images. After building the new hybrid CNN classifer, it will be compared with other CNN transfer learning models. The link and literature review of the article is listed below:

Article - Image based search engine with CNN and Transfer Learning by Dhruv Shrinet¶

The link of the article: https://medium.com/swlh/image-based-search-engine-with-cnn-and-transfer-learning-153a1a3e58b4

This article demonstrate a way to make a simlpe image searcher by calculating the cosine similarity of feature vectors of 2 different images. The author can find a new image and search images look similar from his database.

  1. Use the first to the second last layer of a pre-trained model (ResNet50) to build a feature vector extractor of images.

  2. Use the extractor to calculate the feature vectors of all images in database.

  3. Calculate the feature vector of a new image that cannot be found in database.

  4. Calculate the cosine similarity between the feature vector of the new image and all the feature vectors of the database.

  5. Print the most similar images by sorting.

Data - 70 Dog Breeds-Image Data Set¶

The link of Kaggle: https://www.kaggle.com/datasets/gpiosenka/70-dog-breedsimage-data-set

The Main Idea of the New Hybrid CNN classifer in AASD 4015 Project 2:¶

A new hybrid CNN classifer for classifying the breeds of dog is built as follows:

  1. Use the first to the second last layer of a ResNet50 model to build a first feature vector extractor.

  2. Use the first to the second last layer of a Xception model to build a second feature vector extractor.

  3. Use the 2 extractors to calculate the 2 feature vectors of each images in training set.

  4. Calculate the 2 feature vectors of a new image that is being classified.

  5. Calculate the ResNet50 cosine similarity of the ResNet50 feature vectors of the new image and the ResNet50 feature vectors of each image in each breed in the training set.

  6. Calculate the Xception cosine similarity of the Xception feature vectors of the new image and the Xception feature vectors of each image in each breed in the training set.

  7. Use the idea of ensemble learning, calculate the weighted sum of the above 2 cosine similarity of the new image and each image in each breed in the training set.

  8. Save weighted sum for each breed if the weighted sum is larger than certain threshold.

  9. Count the total number of saved weighted sum for each breed.

  10. Classify the new image by comparing the the total number of saved weighted sum of each breed.

More details about the mechanism of the hybrid CNN classifer will be discussed in the notebook. The main takeaways from this notebook:

  • Explore, preprocess the dataset
  • Build functions and models for building hybrid CNN classifer
  • Produce feature vectors
  • Prediction by the hybrid CNN classifer
  • Validation and Testing of the hybrid CNN classifer
  • Build 2 baseline CNN transfer learning models
  • Compare the performance with the baseline models by test accuracy

Table of Contents:

    1. Data Preprocessing
    2. Data Visualization
    3. Models and Functions for building the Hybrid Model
    4. Feature Vectors
    5. Prediction, Validation and Testing of the Hybrid Model
    6. Compare with 2 CNN Transfer Learning Models
    7. Summary and Discussion
In [ ]:
from keras.applications.resnet import ResNet50
from keras.applications import resnet
from keras.applications.xception import Xception
from keras.applications import xception

from keras.models import Model, load_model
from keras.preprocessing import image
from keras.utils import load_img, img_to_array
import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import os, shutil, pathlib
from sklearn.metrics.pairwise import cosine_similarity
2023-04-06 14:24:15.514220: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.

1. Data Preprocessing¶

There are 70 breeds in the data set and the name of each breeds is saved in breed_list

In [ ]:
breed_list = os.listdir('data/train/')
breed_list.remove('.DS_Store')
print(breed_list)
['Yorkie', 'Greyhound', 'Corgi', 'Mex Hairless', 'Boston Terrier', 'Blenheim', 'Scotch Terrier', 'Rottweiler', 'Elk Hound', 'Schnauzer', 'Bull Mastiff', 'Pomeranian', 'Pekinese', 'Pit Bull', 'Basenji', 'French Bulldog', 'Coyote', 'Komondor', 'Great Perenees', 'Basset', 'Great Dane', 'Dhole', 'Lhasa', 'Labrador', 'Chinese Crested', 'Cocker', 'Chihuahua', 'Shiba Inu', 'Newfoundland', 'Dalmation', 'Bull Terrier', 'Pug', 'Afghan', 'Cairn', 'Beagle', 'Cockapoo', 'Vizsla', 'Collie', 'Irish Wolfhound', 'American Spaniel', 'Maltese', 'African Wild Dog', 'Doberman', 'Shih-Tzu', 'German Sheperd', 'Labradoodle', 'Groenendael', 'Border Collie', 'Shar_Pei', 'Bearded Collie', 'Bermaise', 'Saint Bernard', 'Rhodesian', 'Siberian Husky', 'Japanese Spaniel', 'Borzoi', 'Chow', 'Airedale', 'Dingo', 'American Hairless', 'Irish Spaniel', 'Poodle', 'Malinois', 'Bichon Frise', 'Golden Retriever', 'Clumber', 'Boxer', 'Bulldog', 'Bloodhound', 'Bluetick']

After unzipping the file from Kaggle, we got a folder called data. we found that the number of images of each breed in train, valid and test folders in the data folder are NOT the same. To avoid the problem of data imbalance, we make a new folder called breed and three folders called train, valid and test inside it for preprocessing data.

In [ ]:
os.mkdir('breed')
os.mkdir('breed/train')
os.mkdir('breed/valid')
os.mkdir('breed/test')
for i in breed_list:
    os.mkdir(f'breed/train/{i}')
    os.mkdir(f'breed/valid/{i}')
    os.mkdir(f'breed/test/{i}')

The minimum number of training images in one of 70 breeds is 65. Therefore, we should choose number smaller than or equal to 65 as the number of training images from each breed for data preprocessing.

In [ ]:
var1 = []
for breed in breed_list:
    var1.append(len(os.listdir('data/train/'+f'{breed}')))
print(min(var1))
65

We choose 64, 8 and 8 images from each breed from the original train, valid and test set respectively. The reason is to maintain the ratio of 0.8, 0.1, 0.1.

In [ ]:
for i in breed_list:
    source = 'data/train/'+f'{i}'
    for j in os.listdir(source)[:64]:
        shutil.copy(src=source+'/'+f'{j}', dst='breed/train/'+f'{i}')
In [ ]:
for i in breed_list:
    source = 'data/valid/'+f'{i}'
    for j in os.listdir(source)[:8]:
        shutil.copy(src=source+'/'+f'{j}', dst='breed/valid/'+f'{i}')
In [ ]:
for i in breed_list:
    source = 'data/test/'+f'{i}'
    for j in os.listdir(source)[:8]:
        shutil.copy(src=source+'/'+f'{j}', dst='breed/test/'+f'{i}')

Now, we have totally 4480, 560 and 560 images for training, validation and testing.

2. Data Visulaization¶

By observation, some breeds look similar. For example, the color and shape of Basset and Beagle are close.

In [ ]:
plt.figure(figsize=(7, 7))
img1 = mpimg.imread('breed/train/Basset/004.jpg')
ax = plt.subplot(1, 2, 1)
plt.imshow(img1)
plt.title('Basset')
plt.axis('off')
ax = plt.subplot(1, 2, 2)
img2 = mpimg.imread('breed/train/Beagle/010.jpg')
plt.imshow(img2)
plt.title('Beagle')
plt.axis('off')
plt.show()

For Maltese and Shih-Tzu, it is difficult to distinguish them by the naked eye.

In [ ]:
plt.figure(figsize=(7, 7))
img1 = mpimg.imread('breed/train/Maltese/015.jpg')
ax = plt.subplot(1, 2, 1)
plt.imshow(img1)
plt.title('Maltese')
plt.axis('off')
ax = plt.subplot(1, 2, 2)
img2 = mpimg.imread('breed/train/Shih-Tzu/076.jpg')
plt.imshow(img2)
plt.title('Shih-Tzu')
plt.axis('off')
plt.show()

Above breeds could be the potential challenge of building the new hybrid model.

3. Models and Functions for Building the Hybrid Model¶

The main reference of the coding in Section 3 is the article mentioned above: Image based search engine with CNN and Transfer Learning.

The pre-trained model of ResNet50 and Xception are used to build feature vector extractors. Only the first to the second last layer are considered.

In [ ]:
model_resnet = ResNet50(weights="imagenet", input_shape=(224, 224, 3))
model_resnet.summary()
Model: "resnet50"
__________________________________________________________________________________________________
 Layer (type)                   Output Shape         Param #     Connected to                     
==================================================================================================
 input_1 (InputLayer)           [(None, 224, 224, 3  0           []                               
                                )]                                                                
                                                                                                  
 conv1_pad (ZeroPadding2D)      (None, 230, 230, 3)  0           ['input_1[0][0]']                
                                                                                                  
 conv1_conv (Conv2D)            (None, 112, 112, 64  9472        ['conv1_pad[0][0]']              
                                )                                                                 
                                                                                                  
 conv1_bn (BatchNormalization)  (None, 112, 112, 64  256         ['conv1_conv[0][0]']             
                                )                                                                 
                                                                                                  
 conv1_relu (Activation)        (None, 112, 112, 64  0           ['conv1_bn[0][0]']               
                                )                                                                 
                                                                                                  
 pool1_pad (ZeroPadding2D)      (None, 114, 114, 64  0           ['conv1_relu[0][0]']             
                                )                                                                 
                                                                                                  
 pool1_pool (MaxPooling2D)      (None, 56, 56, 64)   0           ['pool1_pad[0][0]']              
                                                                                                  
 conv2_block1_1_conv (Conv2D)   (None, 56, 56, 64)   4160        ['pool1_pool[0][0]']             
                                                                                                  
 conv2_block1_1_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block1_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block1_1_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block1_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv2_block1_2_conv (Conv2D)   (None, 56, 56, 64)   36928       ['conv2_block1_1_relu[0][0]']    
                                                                                                  
 conv2_block1_2_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block1_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block1_2_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block1_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv2_block1_0_conv (Conv2D)   (None, 56, 56, 256)  16640       ['pool1_pool[0][0]']             
                                                                                                  
 conv2_block1_3_conv (Conv2D)   (None, 56, 56, 256)  16640       ['conv2_block1_2_relu[0][0]']    
                                                                                                  
 conv2_block1_0_bn (BatchNormal  (None, 56, 56, 256)  1024       ['conv2_block1_0_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block1_3_bn (BatchNormal  (None, 56, 56, 256)  1024       ['conv2_block1_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block1_add (Add)         (None, 56, 56, 256)  0           ['conv2_block1_0_bn[0][0]',      
                                                                  'conv2_block1_3_bn[0][0]']      
                                                                                                  
 conv2_block1_out (Activation)  (None, 56, 56, 256)  0           ['conv2_block1_add[0][0]']       
                                                                                                  
 conv2_block2_1_conv (Conv2D)   (None, 56, 56, 64)   16448       ['conv2_block1_out[0][0]']       
                                                                                                  
 conv2_block2_1_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block2_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block2_1_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block2_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv2_block2_2_conv (Conv2D)   (None, 56, 56, 64)   36928       ['conv2_block2_1_relu[0][0]']    
                                                                                                  
 conv2_block2_2_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block2_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block2_2_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block2_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv2_block2_3_conv (Conv2D)   (None, 56, 56, 256)  16640       ['conv2_block2_2_relu[0][0]']    
                                                                                                  
 conv2_block2_3_bn (BatchNormal  (None, 56, 56, 256)  1024       ['conv2_block2_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block2_add (Add)         (None, 56, 56, 256)  0           ['conv2_block1_out[0][0]',       
                                                                  'conv2_block2_3_bn[0][0]']      
                                                                                                  
 conv2_block2_out (Activation)  (None, 56, 56, 256)  0           ['conv2_block2_add[0][0]']       
                                                                                                  
 conv2_block3_1_conv (Conv2D)   (None, 56, 56, 64)   16448       ['conv2_block2_out[0][0]']       
                                                                                                  
 conv2_block3_1_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block3_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block3_1_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block3_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv2_block3_2_conv (Conv2D)   (None, 56, 56, 64)   36928       ['conv2_block3_1_relu[0][0]']    
                                                                                                  
 conv2_block3_2_bn (BatchNormal  (None, 56, 56, 64)  256         ['conv2_block3_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block3_2_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block3_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv2_block3_3_conv (Conv2D)   (None, 56, 56, 256)  16640       ['conv2_block3_2_relu[0][0]']    
                                                                                                  
 conv2_block3_3_bn (BatchNormal  (None, 56, 56, 256)  1024       ['conv2_block3_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv2_block3_add (Add)         (None, 56, 56, 256)  0           ['conv2_block2_out[0][0]',       
                                                                  'conv2_block3_3_bn[0][0]']      
                                                                                                  
 conv2_block3_out (Activation)  (None, 56, 56, 256)  0           ['conv2_block3_add[0][0]']       
                                                                                                  
 conv3_block1_1_conv (Conv2D)   (None, 28, 28, 128)  32896       ['conv2_block3_out[0][0]']       
                                                                                                  
 conv3_block1_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block1_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block1_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block1_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv3_block1_2_conv (Conv2D)   (None, 28, 28, 128)  147584      ['conv3_block1_1_relu[0][0]']    
                                                                                                  
 conv3_block1_2_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block1_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block1_2_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block1_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv3_block1_0_conv (Conv2D)   (None, 28, 28, 512)  131584      ['conv2_block3_out[0][0]']       
                                                                                                  
 conv3_block1_3_conv (Conv2D)   (None, 28, 28, 512)  66048       ['conv3_block1_2_relu[0][0]']    
                                                                                                  
 conv3_block1_0_bn (BatchNormal  (None, 28, 28, 512)  2048       ['conv3_block1_0_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block1_3_bn (BatchNormal  (None, 28, 28, 512)  2048       ['conv3_block1_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block1_add (Add)         (None, 28, 28, 512)  0           ['conv3_block1_0_bn[0][0]',      
                                                                  'conv3_block1_3_bn[0][0]']      
                                                                                                  
 conv3_block1_out (Activation)  (None, 28, 28, 512)  0           ['conv3_block1_add[0][0]']       
                                                                                                  
 conv3_block2_1_conv (Conv2D)   (None, 28, 28, 128)  65664       ['conv3_block1_out[0][0]']       
                                                                                                  
 conv3_block2_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block2_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block2_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block2_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv3_block2_2_conv (Conv2D)   (None, 28, 28, 128)  147584      ['conv3_block2_1_relu[0][0]']    
                                                                                                  
 conv3_block2_2_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block2_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block2_2_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block2_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv3_block2_3_conv (Conv2D)   (None, 28, 28, 512)  66048       ['conv3_block2_2_relu[0][0]']    
                                                                                                  
 conv3_block2_3_bn (BatchNormal  (None, 28, 28, 512)  2048       ['conv3_block2_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block2_add (Add)         (None, 28, 28, 512)  0           ['conv3_block1_out[0][0]',       
                                                                  'conv3_block2_3_bn[0][0]']      
                                                                                                  
 conv3_block2_out (Activation)  (None, 28, 28, 512)  0           ['conv3_block2_add[0][0]']       
                                                                                                  
 conv3_block3_1_conv (Conv2D)   (None, 28, 28, 128)  65664       ['conv3_block2_out[0][0]']       
                                                                                                  
 conv3_block3_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block3_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block3_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block3_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv3_block3_2_conv (Conv2D)   (None, 28, 28, 128)  147584      ['conv3_block3_1_relu[0][0]']    
                                                                                                  
 conv3_block3_2_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block3_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block3_2_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block3_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv3_block3_3_conv (Conv2D)   (None, 28, 28, 512)  66048       ['conv3_block3_2_relu[0][0]']    
                                                                                                  
 conv3_block3_3_bn (BatchNormal  (None, 28, 28, 512)  2048       ['conv3_block3_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block3_add (Add)         (None, 28, 28, 512)  0           ['conv3_block2_out[0][0]',       
                                                                  'conv3_block3_3_bn[0][0]']      
                                                                                                  
 conv3_block3_out (Activation)  (None, 28, 28, 512)  0           ['conv3_block3_add[0][0]']       
                                                                                                  
 conv3_block4_1_conv (Conv2D)   (None, 28, 28, 128)  65664       ['conv3_block3_out[0][0]']       
                                                                                                  
 conv3_block4_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block4_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block4_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block4_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv3_block4_2_conv (Conv2D)   (None, 28, 28, 128)  147584      ['conv3_block4_1_relu[0][0]']    
                                                                                                  
 conv3_block4_2_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block4_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block4_2_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block4_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv3_block4_3_conv (Conv2D)   (None, 28, 28, 512)  66048       ['conv3_block4_2_relu[0][0]']    
                                                                                                  
 conv3_block4_3_bn (BatchNormal  (None, 28, 28, 512)  2048       ['conv3_block4_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv3_block4_add (Add)         (None, 28, 28, 512)  0           ['conv3_block3_out[0][0]',       
                                                                  'conv3_block4_3_bn[0][0]']      
                                                                                                  
 conv3_block4_out (Activation)  (None, 28, 28, 512)  0           ['conv3_block4_add[0][0]']       
                                                                                                  
 conv4_block1_1_conv (Conv2D)   (None, 14, 14, 256)  131328      ['conv3_block4_out[0][0]']       
                                                                                                  
 conv4_block1_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block1_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block1_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block1_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block1_2_conv (Conv2D)   (None, 14, 14, 256)  590080      ['conv4_block1_1_relu[0][0]']    
                                                                                                  
 conv4_block1_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block1_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block1_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block1_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block1_0_conv (Conv2D)   (None, 14, 14, 1024  525312      ['conv3_block4_out[0][0]']       
                                )                                                                 
                                                                                                  
 conv4_block1_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block1_2_relu[0][0]']    
                                )                                                                 
                                                                                                  
 conv4_block1_0_bn (BatchNormal  (None, 14, 14, 1024  4096       ['conv4_block1_0_conv[0][0]']    
 ization)                       )                                                                 
                                                                                                  
 conv4_block1_3_bn (BatchNormal  (None, 14, 14, 1024  4096       ['conv4_block1_3_conv[0][0]']    
 ization)                       )                                                                 
                                                                                                  
 conv4_block1_add (Add)         (None, 14, 14, 1024  0           ['conv4_block1_0_bn[0][0]',      
                                )                                 'conv4_block1_3_bn[0][0]']      
                                                                                                  
 conv4_block1_out (Activation)  (None, 14, 14, 1024  0           ['conv4_block1_add[0][0]']       
                                )                                                                 
                                                                                                  
 conv4_block2_1_conv (Conv2D)   (None, 14, 14, 256)  262400      ['conv4_block1_out[0][0]']       
                                                                                                  
 conv4_block2_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block2_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block2_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block2_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block2_2_conv (Conv2D)   (None, 14, 14, 256)  590080      ['conv4_block2_1_relu[0][0]']    
                                                                                                  
 conv4_block2_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block2_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block2_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block2_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block2_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block2_2_relu[0][0]']    
                                )                                                                 
                                                                                                  
 conv4_block2_3_bn (BatchNormal  (None, 14, 14, 1024  4096       ['conv4_block2_3_conv[0][0]']    
 ization)                       )                                                                 
                                                                                                  
 conv4_block2_add (Add)         (None, 14, 14, 1024  0           ['conv4_block1_out[0][0]',       
                                )                                 'conv4_block2_3_bn[0][0]']      
                                                                                                  
 conv4_block2_out (Activation)  (None, 14, 14, 1024  0           ['conv4_block2_add[0][0]']       
                                )                                                                 
                                                                                                  
 conv4_block3_1_conv (Conv2D)   (None, 14, 14, 256)  262400      ['conv4_block2_out[0][0]']       
                                                                                                  
 conv4_block3_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block3_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block3_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block3_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block3_2_conv (Conv2D)   (None, 14, 14, 256)  590080      ['conv4_block3_1_relu[0][0]']    
                                                                                                  
 conv4_block3_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block3_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block3_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block3_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block3_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block3_2_relu[0][0]']    
                                )                                                                 
                                                                                                  
 conv4_block3_3_bn (BatchNormal  (None, 14, 14, 1024  4096       ['conv4_block3_3_conv[0][0]']    
 ization)                       )                                                                 
                                                                                                  
 conv4_block3_add (Add)         (None, 14, 14, 1024  0           ['conv4_block2_out[0][0]',       
                                )                                 'conv4_block3_3_bn[0][0]']      
                                                                                                  
 conv4_block3_out (Activation)  (None, 14, 14, 1024  0           ['conv4_block3_add[0][0]']       
                                )                                                                 
                                                                                                  
 conv4_block4_1_conv (Conv2D)   (None, 14, 14, 256)  262400      ['conv4_block3_out[0][0]']       
                                                                                                  
 conv4_block4_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block4_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block4_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block4_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block4_2_conv (Conv2D)   (None, 14, 14, 256)  590080      ['conv4_block4_1_relu[0][0]']    
                                                                                                  
 conv4_block4_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block4_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block4_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block4_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block4_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block4_2_relu[0][0]']    
                                )                                                                 
                                                                                                  
 conv4_block4_3_bn (BatchNormal  (None, 14, 14, 1024  4096       ['conv4_block4_3_conv[0][0]']    
 ization)                       )                                                                 
                                                                                                  
 conv4_block4_add (Add)         (None, 14, 14, 1024  0           ['conv4_block3_out[0][0]',       
                                )                                 'conv4_block4_3_bn[0][0]']      
                                                                                                  
 conv4_block4_out (Activation)  (None, 14, 14, 1024  0           ['conv4_block4_add[0][0]']       
                                )                                                                 
                                                                                                  
 conv4_block5_1_conv (Conv2D)   (None, 14, 14, 256)  262400      ['conv4_block4_out[0][0]']       
                                                                                                  
 conv4_block5_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block5_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block5_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block5_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block5_2_conv (Conv2D)   (None, 14, 14, 256)  590080      ['conv4_block5_1_relu[0][0]']    
                                                                                                  
 conv4_block5_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block5_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block5_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block5_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block5_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block5_2_relu[0][0]']    
                                )                                                                 
                                                                                                  
 conv4_block5_3_bn (BatchNormal  (None, 14, 14, 1024  4096       ['conv4_block5_3_conv[0][0]']    
 ization)                       )                                                                 
                                                                                                  
 conv4_block5_add (Add)         (None, 14, 14, 1024  0           ['conv4_block4_out[0][0]',       
                                )                                 'conv4_block5_3_bn[0][0]']      
                                                                                                  
 conv4_block5_out (Activation)  (None, 14, 14, 1024  0           ['conv4_block5_add[0][0]']       
                                )                                                                 
                                                                                                  
 conv4_block6_1_conv (Conv2D)   (None, 14, 14, 256)  262400      ['conv4_block5_out[0][0]']       
                                                                                                  
 conv4_block6_1_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block6_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block6_1_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block6_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block6_2_conv (Conv2D)   (None, 14, 14, 256)  590080      ['conv4_block6_1_relu[0][0]']    
                                                                                                  
 conv4_block6_2_bn (BatchNormal  (None, 14, 14, 256)  1024       ['conv4_block6_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv4_block6_2_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block6_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv4_block6_3_conv (Conv2D)   (None, 14, 14, 1024  263168      ['conv4_block6_2_relu[0][0]']    
                                )                                                                 
                                                                                                  
 conv4_block6_3_bn (BatchNormal  (None, 14, 14, 1024  4096       ['conv4_block6_3_conv[0][0]']    
 ization)                       )                                                                 
                                                                                                  
 conv4_block6_add (Add)         (None, 14, 14, 1024  0           ['conv4_block5_out[0][0]',       
                                )                                 'conv4_block6_3_bn[0][0]']      
                                                                                                  
 conv4_block6_out (Activation)  (None, 14, 14, 1024  0           ['conv4_block6_add[0][0]']       
                                )                                                                 
                                                                                                  
 conv5_block1_1_conv (Conv2D)   (None, 7, 7, 512)    524800      ['conv4_block6_out[0][0]']       
                                                                                                  
 conv5_block1_1_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block1_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block1_1_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block1_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv5_block1_2_conv (Conv2D)   (None, 7, 7, 512)    2359808     ['conv5_block1_1_relu[0][0]']    
                                                                                                  
 conv5_block1_2_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block1_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block1_2_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block1_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv5_block1_0_conv (Conv2D)   (None, 7, 7, 2048)   2099200     ['conv4_block6_out[0][0]']       
                                                                                                  
 conv5_block1_3_conv (Conv2D)   (None, 7, 7, 2048)   1050624     ['conv5_block1_2_relu[0][0]']    
                                                                                                  
 conv5_block1_0_bn (BatchNormal  (None, 7, 7, 2048)  8192        ['conv5_block1_0_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block1_3_bn (BatchNormal  (None, 7, 7, 2048)  8192        ['conv5_block1_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block1_add (Add)         (None, 7, 7, 2048)   0           ['conv5_block1_0_bn[0][0]',      
                                                                  'conv5_block1_3_bn[0][0]']      
                                                                                                  
 conv5_block1_out (Activation)  (None, 7, 7, 2048)   0           ['conv5_block1_add[0][0]']       
                                                                                                  
 conv5_block2_1_conv (Conv2D)   (None, 7, 7, 512)    1049088     ['conv5_block1_out[0][0]']       
                                                                                                  
 conv5_block2_1_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block2_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block2_1_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block2_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv5_block2_2_conv (Conv2D)   (None, 7, 7, 512)    2359808     ['conv5_block2_1_relu[0][0]']    
                                                                                                  
 conv5_block2_2_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block2_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block2_2_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block2_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv5_block2_3_conv (Conv2D)   (None, 7, 7, 2048)   1050624     ['conv5_block2_2_relu[0][0]']    
                                                                                                  
 conv5_block2_3_bn (BatchNormal  (None, 7, 7, 2048)  8192        ['conv5_block2_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block2_add (Add)         (None, 7, 7, 2048)   0           ['conv5_block1_out[0][0]',       
                                                                  'conv5_block2_3_bn[0][0]']      
                                                                                                  
 conv5_block2_out (Activation)  (None, 7, 7, 2048)   0           ['conv5_block2_add[0][0]']       
                                                                                                  
 conv5_block3_1_conv (Conv2D)   (None, 7, 7, 512)    1049088     ['conv5_block2_out[0][0]']       
                                                                                                  
 conv5_block3_1_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block3_1_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block3_1_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block3_1_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv5_block3_2_conv (Conv2D)   (None, 7, 7, 512)    2359808     ['conv5_block3_1_relu[0][0]']    
                                                                                                  
 conv5_block3_2_bn (BatchNormal  (None, 7, 7, 512)   2048        ['conv5_block3_2_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block3_2_relu (Activatio  (None, 7, 7, 512)   0           ['conv5_block3_2_bn[0][0]']      
 n)                                                                                               
                                                                                                  
 conv5_block3_3_conv (Conv2D)   (None, 7, 7, 2048)   1050624     ['conv5_block3_2_relu[0][0]']    
                                                                                                  
 conv5_block3_3_bn (BatchNormal  (None, 7, 7, 2048)  8192        ['conv5_block3_3_conv[0][0]']    
 ization)                                                                                         
                                                                                                  
 conv5_block3_add (Add)         (None, 7, 7, 2048)   0           ['conv5_block2_out[0][0]',       
                                                                  'conv5_block3_3_bn[0][0]']      
                                                                                                  
 conv5_block3_out (Activation)  (None, 7, 7, 2048)   0           ['conv5_block3_add[0][0]']       
                                                                                                  
 avg_pool (GlobalAveragePooling  (None, 2048)        0           ['conv5_block3_out[0][0]']       
 2D)                                                                                              
                                                                                                  
 predictions (Dense)            (None, 1000)         2049000     ['avg_pool[0][0]']               
                                                                                                  
==================================================================================================
Total params: 25,636,712
Trainable params: 25,583,592
Non-trainable params: 53,120
__________________________________________________________________________________________________
In [ ]:
model_xception=Xception(weights='imagenet',input_shape=(299, 299, 3))
model_xception.summary()
Model: "xception"
__________________________________________________________________________________________________
 Layer (type)                   Output Shape         Param #     Connected to                     
==================================================================================================
 input_2 (InputLayer)           [(None, 299, 299, 3  0           []                               
                                )]                                                                
                                                                                                  
 block1_conv1 (Conv2D)          (None, 149, 149, 32  864         ['input_2[0][0]']                
                                )                                                                 
                                                                                                  
 block1_conv1_bn (BatchNormaliz  (None, 149, 149, 32  128        ['block1_conv1[0][0]']           
 ation)                         )                                                                 
                                                                                                  
 block1_conv1_act (Activation)  (None, 149, 149, 32  0           ['block1_conv1_bn[0][0]']        
                                )                                                                 
                                                                                                  
 block1_conv2 (Conv2D)          (None, 147, 147, 64  18432       ['block1_conv1_act[0][0]']       
                                )                                                                 
                                                                                                  
 block1_conv2_bn (BatchNormaliz  (None, 147, 147, 64  256        ['block1_conv2[0][0]']           
 ation)                         )                                                                 
                                                                                                  
 block1_conv2_act (Activation)  (None, 147, 147, 64  0           ['block1_conv2_bn[0][0]']        
                                )                                                                 
                                                                                                  
 block2_sepconv1 (SeparableConv  (None, 147, 147, 12  8768       ['block1_conv2_act[0][0]']       
 2D)                            8)                                                                
                                                                                                  
 block2_sepconv1_bn (BatchNorma  (None, 147, 147, 12  512        ['block2_sepconv1[0][0]']        
 lization)                      8)                                                                
                                                                                                  
 block2_sepconv2_act (Activatio  (None, 147, 147, 12  0          ['block2_sepconv1_bn[0][0]']     
 n)                             8)                                                                
                                                                                                  
 block2_sepconv2 (SeparableConv  (None, 147, 147, 12  17536      ['block2_sepconv2_act[0][0]']    
 2D)                            8)                                                                
                                                                                                  
 block2_sepconv2_bn (BatchNorma  (None, 147, 147, 12  512        ['block2_sepconv2[0][0]']        
 lization)                      8)                                                                
                                                                                                  
 conv2d (Conv2D)                (None, 74, 74, 128)  8192        ['block1_conv2_act[0][0]']       
                                                                                                  
 block2_pool (MaxPooling2D)     (None, 74, 74, 128)  0           ['block2_sepconv2_bn[0][0]']     
                                                                                                  
 batch_normalization (BatchNorm  (None, 74, 74, 128)  512        ['conv2d[0][0]']                 
 alization)                                                                                       
                                                                                                  
 add (Add)                      (None, 74, 74, 128)  0           ['block2_pool[0][0]',            
                                                                  'batch_normalization[0][0]']    
                                                                                                  
 block3_sepconv1_act (Activatio  (None, 74, 74, 128)  0          ['add[0][0]']                    
 n)                                                                                               
                                                                                                  
 block3_sepconv1 (SeparableConv  (None, 74, 74, 256)  33920      ['block3_sepconv1_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block3_sepconv1_bn (BatchNorma  (None, 74, 74, 256)  1024       ['block3_sepconv1[0][0]']        
 lization)                                                                                        
                                                                                                  
 block3_sepconv2_act (Activatio  (None, 74, 74, 256)  0          ['block3_sepconv1_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block3_sepconv2 (SeparableConv  (None, 74, 74, 256)  67840      ['block3_sepconv2_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block3_sepconv2_bn (BatchNorma  (None, 74, 74, 256)  1024       ['block3_sepconv2[0][0]']        
 lization)                                                                                        
                                                                                                  
 conv2d_1 (Conv2D)              (None, 37, 37, 256)  32768       ['add[0][0]']                    
                                                                                                  
 block3_pool (MaxPooling2D)     (None, 37, 37, 256)  0           ['block3_sepconv2_bn[0][0]']     
                                                                                                  
 batch_normalization_1 (BatchNo  (None, 37, 37, 256)  1024       ['conv2d_1[0][0]']               
 rmalization)                                                                                     
                                                                                                  
 add_1 (Add)                    (None, 37, 37, 256)  0           ['block3_pool[0][0]',            
                                                                  'batch_normalization_1[0][0]']  
                                                                                                  
 block4_sepconv1_act (Activatio  (None, 37, 37, 256)  0          ['add_1[0][0]']                  
 n)                                                                                               
                                                                                                  
 block4_sepconv1 (SeparableConv  (None, 37, 37, 728)  188672     ['block4_sepconv1_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block4_sepconv1_bn (BatchNorma  (None, 37, 37, 728)  2912       ['block4_sepconv1[0][0]']        
 lization)                                                                                        
                                                                                                  
 block4_sepconv2_act (Activatio  (None, 37, 37, 728)  0          ['block4_sepconv1_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block4_sepconv2 (SeparableConv  (None, 37, 37, 728)  536536     ['block4_sepconv2_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block4_sepconv2_bn (BatchNorma  (None, 37, 37, 728)  2912       ['block4_sepconv2[0][0]']        
 lization)                                                                                        
                                                                                                  
 conv2d_2 (Conv2D)              (None, 19, 19, 728)  186368      ['add_1[0][0]']                  
                                                                                                  
 block4_pool (MaxPooling2D)     (None, 19, 19, 728)  0           ['block4_sepconv2_bn[0][0]']     
                                                                                                  
 batch_normalization_2 (BatchNo  (None, 19, 19, 728)  2912       ['conv2d_2[0][0]']               
 rmalization)                                                                                     
                                                                                                  
 add_2 (Add)                    (None, 19, 19, 728)  0           ['block4_pool[0][0]',            
                                                                  'batch_normalization_2[0][0]']  
                                                                                                  
 block5_sepconv1_act (Activatio  (None, 19, 19, 728)  0          ['add_2[0][0]']                  
 n)                                                                                               
                                                                                                  
 block5_sepconv1 (SeparableConv  (None, 19, 19, 728)  536536     ['block5_sepconv1_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block5_sepconv1_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block5_sepconv1[0][0]']        
 lization)                                                                                        
                                                                                                  
 block5_sepconv2_act (Activatio  (None, 19, 19, 728)  0          ['block5_sepconv1_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block5_sepconv2 (SeparableConv  (None, 19, 19, 728)  536536     ['block5_sepconv2_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block5_sepconv2_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block5_sepconv2[0][0]']        
 lization)                                                                                        
                                                                                                  
 block5_sepconv3_act (Activatio  (None, 19, 19, 728)  0          ['block5_sepconv2_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block5_sepconv3 (SeparableConv  (None, 19, 19, 728)  536536     ['block5_sepconv3_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block5_sepconv3_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block5_sepconv3[0][0]']        
 lization)                                                                                        
                                                                                                  
 add_3 (Add)                    (None, 19, 19, 728)  0           ['block5_sepconv3_bn[0][0]',     
                                                                  'add_2[0][0]']                  
                                                                                                  
 block6_sepconv1_act (Activatio  (None, 19, 19, 728)  0          ['add_3[0][0]']                  
 n)                                                                                               
                                                                                                  
 block6_sepconv1 (SeparableConv  (None, 19, 19, 728)  536536     ['block6_sepconv1_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block6_sepconv1_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block6_sepconv1[0][0]']        
 lization)                                                                                        
                                                                                                  
 block6_sepconv2_act (Activatio  (None, 19, 19, 728)  0          ['block6_sepconv1_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block6_sepconv2 (SeparableConv  (None, 19, 19, 728)  536536     ['block6_sepconv2_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block6_sepconv2_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block6_sepconv2[0][0]']        
 lization)                                                                                        
                                                                                                  
 block6_sepconv3_act (Activatio  (None, 19, 19, 728)  0          ['block6_sepconv2_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block6_sepconv3 (SeparableConv  (None, 19, 19, 728)  536536     ['block6_sepconv3_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block6_sepconv3_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block6_sepconv3[0][0]']        
 lization)                                                                                        
                                                                                                  
 add_4 (Add)                    (None, 19, 19, 728)  0           ['block6_sepconv3_bn[0][0]',     
                                                                  'add_3[0][0]']                  
                                                                                                  
 block7_sepconv1_act (Activatio  (None, 19, 19, 728)  0          ['add_4[0][0]']                  
 n)                                                                                               
                                                                                                  
 block7_sepconv1 (SeparableConv  (None, 19, 19, 728)  536536     ['block7_sepconv1_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block7_sepconv1_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block7_sepconv1[0][0]']        
 lization)                                                                                        
                                                                                                  
 block7_sepconv2_act (Activatio  (None, 19, 19, 728)  0          ['block7_sepconv1_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block7_sepconv2 (SeparableConv  (None, 19, 19, 728)  536536     ['block7_sepconv2_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block7_sepconv2_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block7_sepconv2[0][0]']        
 lization)                                                                                        
                                                                                                  
 block7_sepconv3_act (Activatio  (None, 19, 19, 728)  0          ['block7_sepconv2_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block7_sepconv3 (SeparableConv  (None, 19, 19, 728)  536536     ['block7_sepconv3_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block7_sepconv3_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block7_sepconv3[0][0]']        
 lization)                                                                                        
                                                                                                  
 add_5 (Add)                    (None, 19, 19, 728)  0           ['block7_sepconv3_bn[0][0]',     
                                                                  'add_4[0][0]']                  
                                                                                                  
 block8_sepconv1_act (Activatio  (None, 19, 19, 728)  0          ['add_5[0][0]']                  
 n)                                                                                               
                                                                                                  
 block8_sepconv1 (SeparableConv  (None, 19, 19, 728)  536536     ['block8_sepconv1_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block8_sepconv1_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block8_sepconv1[0][0]']        
 lization)                                                                                        
                                                                                                  
 block8_sepconv2_act (Activatio  (None, 19, 19, 728)  0          ['block8_sepconv1_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block8_sepconv2 (SeparableConv  (None, 19, 19, 728)  536536     ['block8_sepconv2_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block8_sepconv2_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block8_sepconv2[0][0]']        
 lization)                                                                                        
                                                                                                  
 block8_sepconv3_act (Activatio  (None, 19, 19, 728)  0          ['block8_sepconv2_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block8_sepconv3 (SeparableConv  (None, 19, 19, 728)  536536     ['block8_sepconv3_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block8_sepconv3_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block8_sepconv3[0][0]']        
 lization)                                                                                        
                                                                                                  
 add_6 (Add)                    (None, 19, 19, 728)  0           ['block8_sepconv3_bn[0][0]',     
                                                                  'add_5[0][0]']                  
                                                                                                  
 block9_sepconv1_act (Activatio  (None, 19, 19, 728)  0          ['add_6[0][0]']                  
 n)                                                                                               
                                                                                                  
 block9_sepconv1 (SeparableConv  (None, 19, 19, 728)  536536     ['block9_sepconv1_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block9_sepconv1_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block9_sepconv1[0][0]']        
 lization)                                                                                        
                                                                                                  
 block9_sepconv2_act (Activatio  (None, 19, 19, 728)  0          ['block9_sepconv1_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block9_sepconv2 (SeparableConv  (None, 19, 19, 728)  536536     ['block9_sepconv2_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block9_sepconv2_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block9_sepconv2[0][0]']        
 lization)                                                                                        
                                                                                                  
 block9_sepconv3_act (Activatio  (None, 19, 19, 728)  0          ['block9_sepconv2_bn[0][0]']     
 n)                                                                                               
                                                                                                  
 block9_sepconv3 (SeparableConv  (None, 19, 19, 728)  536536     ['block9_sepconv3_act[0][0]']    
 2D)                                                                                              
                                                                                                  
 block9_sepconv3_bn (BatchNorma  (None, 19, 19, 728)  2912       ['block9_sepconv3[0][0]']        
 lization)                                                                                        
                                                                                                  
 add_7 (Add)                    (None, 19, 19, 728)  0           ['block9_sepconv3_bn[0][0]',     
                                                                  'add_6[0][0]']                  
                                                                                                  
 block10_sepconv1_act (Activati  (None, 19, 19, 728)  0          ['add_7[0][0]']                  
 on)                                                                                              
                                                                                                  
 block10_sepconv1 (SeparableCon  (None, 19, 19, 728)  536536     ['block10_sepconv1_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block10_sepconv1_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block10_sepconv1[0][0]']       
 alization)                                                                                       
                                                                                                  
 block10_sepconv2_act (Activati  (None, 19, 19, 728)  0          ['block10_sepconv1_bn[0][0]']    
 on)                                                                                              
                                                                                                  
 block10_sepconv2 (SeparableCon  (None, 19, 19, 728)  536536     ['block10_sepconv2_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block10_sepconv2_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block10_sepconv2[0][0]']       
 alization)                                                                                       
                                                                                                  
 block10_sepconv3_act (Activati  (None, 19, 19, 728)  0          ['block10_sepconv2_bn[0][0]']    
 on)                                                                                              
                                                                                                  
 block10_sepconv3 (SeparableCon  (None, 19, 19, 728)  536536     ['block10_sepconv3_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block10_sepconv3_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block10_sepconv3[0][0]']       
 alization)                                                                                       
                                                                                                  
 add_8 (Add)                    (None, 19, 19, 728)  0           ['block10_sepconv3_bn[0][0]',    
                                                                  'add_7[0][0]']                  
                                                                                                  
 block11_sepconv1_act (Activati  (None, 19, 19, 728)  0          ['add_8[0][0]']                  
 on)                                                                                              
                                                                                                  
 block11_sepconv1 (SeparableCon  (None, 19, 19, 728)  536536     ['block11_sepconv1_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block11_sepconv1_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block11_sepconv1[0][0]']       
 alization)                                                                                       
                                                                                                  
 block11_sepconv2_act (Activati  (None, 19, 19, 728)  0          ['block11_sepconv1_bn[0][0]']    
 on)                                                                                              
                                                                                                  
 block11_sepconv2 (SeparableCon  (None, 19, 19, 728)  536536     ['block11_sepconv2_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block11_sepconv2_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block11_sepconv2[0][0]']       
 alization)                                                                                       
                                                                                                  
 block11_sepconv3_act (Activati  (None, 19, 19, 728)  0          ['block11_sepconv2_bn[0][0]']    
 on)                                                                                              
                                                                                                  
 block11_sepconv3 (SeparableCon  (None, 19, 19, 728)  536536     ['block11_sepconv3_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block11_sepconv3_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block11_sepconv3[0][0]']       
 alization)                                                                                       
                                                                                                  
 add_9 (Add)                    (None, 19, 19, 728)  0           ['block11_sepconv3_bn[0][0]',    
                                                                  'add_8[0][0]']                  
                                                                                                  
 block12_sepconv1_act (Activati  (None, 19, 19, 728)  0          ['add_9[0][0]']                  
 on)                                                                                              
                                                                                                  
 block12_sepconv1 (SeparableCon  (None, 19, 19, 728)  536536     ['block12_sepconv1_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block12_sepconv1_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block12_sepconv1[0][0]']       
 alization)                                                                                       
                                                                                                  
 block12_sepconv2_act (Activati  (None, 19, 19, 728)  0          ['block12_sepconv1_bn[0][0]']    
 on)                                                                                              
                                                                                                  
 block12_sepconv2 (SeparableCon  (None, 19, 19, 728)  536536     ['block12_sepconv2_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block12_sepconv2_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block12_sepconv2[0][0]']       
 alization)                                                                                       
                                                                                                  
 block12_sepconv3_act (Activati  (None, 19, 19, 728)  0          ['block12_sepconv2_bn[0][0]']    
 on)                                                                                              
                                                                                                  
 block12_sepconv3 (SeparableCon  (None, 19, 19, 728)  536536     ['block12_sepconv3_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block12_sepconv3_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block12_sepconv3[0][0]']       
 alization)                                                                                       
                                                                                                  
 add_10 (Add)                   (None, 19, 19, 728)  0           ['block12_sepconv3_bn[0][0]',    
                                                                  'add_9[0][0]']                  
                                                                                                  
 block13_sepconv1_act (Activati  (None, 19, 19, 728)  0          ['add_10[0][0]']                 
 on)                                                                                              
                                                                                                  
 block13_sepconv1 (SeparableCon  (None, 19, 19, 728)  536536     ['block13_sepconv1_act[0][0]']   
 v2D)                                                                                             
                                                                                                  
 block13_sepconv1_bn (BatchNorm  (None, 19, 19, 728)  2912       ['block13_sepconv1[0][0]']       
 alization)                                                                                       
                                                                                                  
 block13_sepconv2_act (Activati  (None, 19, 19, 728)  0          ['block13_sepconv1_bn[0][0]']    
 on)                                                                                              
                                                                                                  
 block13_sepconv2 (SeparableCon  (None, 19, 19, 1024  752024     ['block13_sepconv2_act[0][0]']   
 v2D)                           )                                                                 
                                                                                                  
 block13_sepconv2_bn (BatchNorm  (None, 19, 19, 1024  4096       ['block13_sepconv2[0][0]']       
 alization)                     )                                                                 
                                                                                                  
 conv2d_3 (Conv2D)              (None, 10, 10, 1024  745472      ['add_10[0][0]']                 
                                )                                                                 
                                                                                                  
 block13_pool (MaxPooling2D)    (None, 10, 10, 1024  0           ['block13_sepconv2_bn[0][0]']    
                                )                                                                 
                                                                                                  
 batch_normalization_3 (BatchNo  (None, 10, 10, 1024  4096       ['conv2d_3[0][0]']               
 rmalization)                   )                                                                 
                                                                                                  
 add_11 (Add)                   (None, 10, 10, 1024  0           ['block13_pool[0][0]',           
                                )                                 'batch_normalization_3[0][0]']  
                                                                                                  
 block14_sepconv1 (SeparableCon  (None, 10, 10, 1536  1582080    ['add_11[0][0]']                 
 v2D)                           )                                                                 
                                                                                                  
 block14_sepconv1_bn (BatchNorm  (None, 10, 10, 1536  6144       ['block14_sepconv1[0][0]']       
 alization)                     )                                                                 
                                                                                                  
 block14_sepconv1_act (Activati  (None, 10, 10, 1536  0          ['block14_sepconv1_bn[0][0]']    
 on)                            )                                                                 
                                                                                                  
 block14_sepconv2 (SeparableCon  (None, 10, 10, 2048  3159552    ['block14_sepconv1_act[0][0]']   
 v2D)                           )                                                                 
                                                                                                  
 block14_sepconv2_bn (BatchNorm  (None, 10, 10, 2048  8192       ['block14_sepconv2[0][0]']       
 alization)                     )                                                                 
                                                                                                  
 block14_sepconv2_act (Activati  (None, 10, 10, 2048  0          ['block14_sepconv2_bn[0][0]']    
 on)                            )                                                                 
                                                                                                  
 avg_pool (GlobalAveragePooling  (None, 2048)        0           ['block14_sepconv2_act[0][0]']   
 2D)                                                                                              
                                                                                                  
 predictions (Dense)            (None, 1000)         2049000     ['avg_pool[0][0]']               
                                                                                                  
==================================================================================================
Total params: 22,910,480
Trainable params: 22,855,952
Non-trainable params: 54,528
__________________________________________________________________________________________________
In [ ]:
model_n_resnet = Model(model_resnet.input, model_resnet.layers[-2].output)
In [ ]:
model_n_xception = Model(model_xception.input, model_xception.layers[-2].output)

preprocess_img_resnet and preprocess_img_xception are made to preprocess the image into proper format and data type for their corresponding feature vector extractors. These two functions are used in the encode_img_resnet and encode_img_xception respectively.

In [ ]:
def preprocess_img_resnet(img):
    img = load_img(img, target_size=(224, 224,))
    img = img_to_array(img)
    img = np.expand_dims(img, axis=0)
    img = resnet.preprocess_input(img)
    return img
In [ ]:
def preprocess_img_xception(img):
    img = load_img(img, target_size=(299, 299,))
    img = img_to_array(img)
    img = np.expand_dims(img, axis=0)
    img = xception.preprocess_input(img)
    return img

encode_img_resnet and encode_img_xception will return the ResNet50 feature vector and Xception feature vector respectively of a particular image. The vectors will be used to calculate the cosine similarity.

In [ ]:
def encode_img_resnet(img):
    img = preprocess_img_resnet(img)
    feature_v = model_n_resnet.predict(img)
    feature_v = feature_v.reshape((-1,))
    return feature_v
In [ ]:
def encode_img_xception(img):
    img = preprocess_img_xception(img)
    feature_v = model_n_xception.predict(img)
    feature_v = feature_v.reshape((-1,))
    return feature_v

4. Feature Vectors¶

feature_resnet and feature_xception are two dictionaries for storing the ResNet50 feature vectors and Xception feature vectors for each breed. As we have 70 breeds to consider, there are 70 keys indicating the name of each breed in feature_resnet and feature_xception.

In [ ]:
feature_resnet = {}
feature_xception = {}
for i in breed_list:
    feature_resnet[f'{i}'] = []
    feature_xception[f'{i}'] = []

For each key, there is a corresponding list for storing the 64 feature vectors. The following nested for loop is adding the feature vectors into each list by the 2 functions encode_img_resnet and encode_img_xception.

In [ ]:
for i in breed_list:
    temp_path = 'breed/train/'+f'{i}'
    print(temp_path)
    print(os.listdir(temp_path))
    for j in os.listdir(temp_path):
        feature_vector = encode_img_resnet(temp_path+'/'+f'{j}')
        feature_resnet[f'{i}'].append(feature_vector)
        feature_vector = encode_img_xception(temp_path+'/'+f'{j}')
        feature_xception[f'{i}'].append(feature_vector)
breed/train/Yorkie
['63.jpg', '77.jpg', '76.jpg', '62.jpg', '74.jpg', '60.jpg', '48.jpg', '49.jpg', '61.jpg', '75.jpg', '59.jpg', '71.jpg', '65.jpg', '64.jpg', '70.jpg', '58.jpg', '66.jpg', '72.jpg', '73.jpg', '67.jpg', '14.jpg', '28.jpg', '29.jpg', '15.jpg', '01.jpg', '17.jpg', '03.jpg', '02.jpg', '16.jpg', '12.jpg', '06.jpg', '07.jpg', '13.jpg', '39.jpg', '05.jpg', '11.jpg', '10.jpg', '04.jpg', '38.jpg', '21.jpg', '35.jpg', '09.jpg', '08.jpg', '34.jpg', '20.jpg', '36.jpg', '22.jpg', '23.jpg', '37.jpg', '33.jpg', '27.jpg', '26.jpg', '32.jpg', '18.jpg', '24.jpg', '30.jpg', '31.jpg', '25.jpg', '19.jpg', '42.jpg', '56.jpg', '57.jpg', '43.jpg', '55.jpg']
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breed/train/Greyhound
['016.jpg', '002.jpg', '003.jpg', '017.jpg', '029.jpg', '001.jpg', '015.jpg', '014.jpg', '028.jpg', '004.jpg', '010.jpg', '038.jpg', '039.jpg', '011.jpg', '005.jpg', '013.jpg', '007.jpg', '006.jpg', '012.jpg', '101.jpg', '049.jpg', '075.jpg', '061.jpg', '060.jpg', '074.jpg', '048.jpg', '100.jpg', '102.jpg', '089.jpg', '062.jpg', '076.jpg', '077.jpg', '063.jpg', '088.jpg', '103.jpg', '107.jpg', '098.jpg', '067.jpg', '073.jpg', '072.jpg', '066.jpg', '099.jpg', '106.jpg', '104.jpg', '070.jpg', '064.jpg', '058.jpg', '059.jpg', '065.jpg', '071.jpg', '105.jpg', '108.jpg', '097.jpg', '083.jpg', '068.jpg', '054.jpg', '040.jpg', '041.jpg', '055.jpg', '069.jpg', '082.jpg', '096.jpg', '109.jpg', '080.jpg']
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breed/train/Bull Mastiff
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breed/train/Pomeranian
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breed/train/Pekinese
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breed/train/Dhole
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breed/train/Lhasa
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breed/train/Labrador
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breed/train/Chinese Crested
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breed/train/Cocker
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breed/train/Chihuahua
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breed/train/American Spaniel
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breed/train/Maltese
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breed/train/African Wild Dog
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breed/train/Doberman
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breed/train/Shih-Tzu
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breed/train/Chow
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breed/train/Airedale
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breed/train/Dingo
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breed/train/American Hairless
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breed/train/Irish Spaniel
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breed/train/Poodle
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breed/train/Malinois
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breed/train/Clumber
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1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 164ms/step
1/1 [==============================] - 0s 178ms/step
1/1 [==============================] - 0s 211ms/step
1/1 [==============================] - 0s 165ms/step
1/1 [==============================] - 0s 235ms/step
1/1 [==============================] - 0s 207ms/step
1/1 [==============================] - 0s 195ms/step
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 196ms/step
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1/1 [==============================] - 0s 158ms/step
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 280ms/step
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 192ms/step
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 187ms/step
1/1 [==============================] - 0s 149ms/step
1/1 [==============================] - 0s 167ms/step

Before reading Section 5, let's see what we have. We have gotten 2 dictionaries: feature_resnet and feature_xception. For each dictionary, there are 70 keys that are the names of the 70 breeds of dog. For each key, there is a list storing 64 feature vectors produced by encode_img_resnet or encode_img_xception (depends on whether it is feature_resnet or feature_xception).

5. Prediction, Validation and Testing of the Hybrid Model¶

To explain the algorithm of the hybrid model clearly, I will explain with an example and my handwritten notes.

In [ ]:
plt.figure(figsize=(10, 10))
img1 = mpimg.imread('1.png')
plt.imshow(img1)
plt.axis('off')
plt.show()

In step 1, I input a new image which is a Golden Retriever. encode_img_resnet and encode_img_xception will generate a ResNet50 feature vector and a Xception feature vector respectively.

In step 2, feature_resnet and feature_xception are examined. In this example, we will focus on the Golden Retriever in feature_resnet and feature_xception to illustrate the algorithm. In feature_resnet, there are 64 ResNet50 feature vectors stored in a list which is corresponding to Golden Retriever. In feature_xception, there are 64 Xception feature vectors stored in a list which is corresponding to Golden Retriever.

In step 3, calculate the weighted sum of ResNet50 cosine similarity and Xception cosine similarity and check whether the weighted sum is larger than 0.5. In my handwritten note, $w$ is used to indicate the weight and $s$ is the cosine similarity function.

In [ ]:
plt.figure(figsize=(8, 8))
img1 = mpimg.imread('2.png')
plt.imshow(img1)
plt.axis('off')
plt.show()

In step 4, if the total number of weighted sum which is larger than 0.5 is higher than 43, Golden Retriever is considered to be one of the possible correct breeds. If not, just examine other breeds.

In step 5, if the total number of possible correct breeds is just 1, then the hybrid model will classify the image as Golden Retriever. If the total number of possible correct breeds is zero, then the hybrid model will print: No such class! Your image may not be a dog. If the total number of possible correct breeds is larger than 1, go to step 6.

In [ ]:
plt.figure(figsize=(10, 10))
img1 = mpimg.imread('3.png')
plt.imshow(img1)
plt.axis('off')
plt.show()

In step 6, let say there are 2 possible correct breeds: Golden Retriever and Boxer. The algorithmn will sum up the corresponding weighted sum of ResNet50 cosine similarity and Xception cosine similarity and check whose sum is larger. In this example, the total sum of Golden Retriever is 39.4, while the total sum of Boxer is 21.3. The algorithmn will classify the input image as Golden Retriever.

The mechanism of prediction below follows above rationale.

In [ ]:
def prediction(testing, w1=0.5, thre_score=0.5, thre_num=43):
    # Generate feature vectors for the input image
    check_resent = encode_img_resnet(testing)
    check_xcep = encode_img_xception(testing)
    name = []
    # Examine the feature_resnet and feature_xception
    for i in breed_list:
        temp_list_resent = feature_resnet[f'{i}']
        temp_list_xcep = feature_xception[f'{i}']
        temp1 = []
        for m, n in zip(temp_list_resent, temp_list_xcep):
            # Calculate the weighted sum
            score_resent = cosine_similarity(check_resent.reshape(1,-1), m.reshape(1,-1))[0][0]
            score_xcep = cosine_similarity(check_xcep.reshape(1,-1), n.reshape(1,-1))[0][0]
            score = w1*score_resent + (1-w1)*score_xcep
            # Check the weighted sum
            if score > thre_score:
                temp1.append(score)
                # Check the total number of weighted sum which is larger than thre_score
                if len(temp1) > thre_num:
                    name.append(i)
    
    ############################################## Three possible cases ####################################################
    name_list = list(dict.fromkeys(name))
    # Only one possibility
    if len(name_list)==1:
        for k in name_list:
            print("This is a", k)
            return k
    # More than one possibility
    elif len(name_list)>1:
        temp2 = []
        for l in name_list:
            temp3 = []
            temp_list2_resent = feature_resnet[f'{l}']
            temp_list2_xcep = feature_xception[f'{l}']
            for s, t in zip(temp_list2_resent, temp_list2_xcep):
                score_resent = cosine_similarity(check_resent.reshape(1,-1), s.reshape(1,-1))[0][0]
                score_xcep = cosine_similarity(check_xcep.reshape(1,-1), t.reshape(1,-1))[0][0]
                score = w1*score_resent + (1-w1)*score_xcep
                temp3.append(score)
            temp2.append(sum(temp3))
        print("This is a", name_list[np.argmax(temp2)])
        return name_list[np.argmax(temp2)]
    # Zero possibility
    elif len(name_list)==0:
        print("No such class! Your image may not be a dog")
        return 'X'

Let's use prediction to check whether it can predict a Golden Retriever in validation set correctly.

In [ ]:
plt.figure(figsize=(4, 4))
img1 = mpimg.imread('breed/valid/Golden Retriever/01.jpg')
plt.imshow(img1)
plt.title('Golden Retriever')
plt.axis('off')
plt.show()
In [ ]:
prediction('breed/valid/Golden Retriever/01.jpg')
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 142ms/step
This is a Golden Retriever
Out[ ]:
'Golden Retriever'

What if I input an image of a human face?

In [ ]:
plt.figure(figsize=(4, 4))
img1 = mpimg.imread('human.jpeg')
plt.imshow(img1)
plt.title('Human')
plt.axis('off')
plt.show()
In [ ]:
prediction('human.jpeg')
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 158ms/step
No such class! Your image may not be a dog
Out[ ]:
'X'

The hybrid classifer will NOT classify the image of human as one of the 70 breeds but tell you that you may input some irrelevant images. This is what a traditional CNN classfication model CANNOT do.

accuracy can calculate the valid accuracy or test accuracy. The idea is to use the above prediction to predict the valid and test set and count the number of correct predictions. Finally, the number is divided by the total number of images in valid set or test set and return the accuracy of the hybrid CNN classifer under different settings.

In [ ]:
def accuracy(set='valid', w1=0.5, thre_score=0.5, thre_num=43):
    pred = []
    real = []
    count = 0
    for breed in breed_list:
        path1 = 'breed/'+set+'/'+f'{breed}'
        path1_img = os.listdir('breed/'+set+'/'+f'{breed}')
        for img in path1_img:
            pred_img = path1+'/'+img
            pred.append(prediction(pred_img, w1=w1, thre_score=thre_score, thre_num=thre_num))
        for img in range(len(path1_img)):
            real.append(breed)
    for x, y in zip(real, pred):
        if x == y:
            count += 1
    print("The accuracy:", count/len(real))
    return count/len(real)

We will try different weights and check the validation accuracy. The setting which produces the highest validation accuracy will be used in the remaining section and its test accuracy will be checked.

w1=0¶
In [ ]:
acc_valid_1 = accuracy(set='valid', w1=0, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 154ms/step
This is a Yorkie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Yorkie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 210ms/step
This is a Yorkie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Yorkie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 127ms/step
This is a Yorkie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Yorkie
1/1 [==============================] - 0s 189ms/step
1/1 [==============================] - 0s 148ms/step
This is a Yorkie
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a Yorkie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Greyhound
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 179ms/step
This is a Greyhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Greyhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Greyhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Greyhound
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 128ms/step
This is a Greyhound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 128ms/step
This is a Greyhound
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 184ms/step
This is a Greyhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Corgi
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 128ms/step
This is a Corgi
1/1 [==============================] - 0s 195ms/step
1/1 [==============================] - 0s 229ms/step
This is a Corgi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 145ms/step
This is a Corgi
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Corgi
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 144ms/step
This is a Corgi
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 131ms/step
This is a Corgi
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 139ms/step
This is a Corgi
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 136ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 156ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 140ms/step
This is a Mex Hairless
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1/1 [==============================] - 0s 165ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 181ms/step
This is a Mex Hairless
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1/1 [==============================] - 0s 135ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 144ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 152ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 143ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 133ms/step
This is a French Bulldog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 141ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 157ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 245ms/step
This is a Blenheim
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 154ms/step
This is a Blenheim
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 133ms/step
This is a Blenheim
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 142ms/step
This is a Blenheim
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Blenheim
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 167ms/step
This is a Blenheim
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 204ms/step
This is a Blenheim
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 144ms/step
This is a Blenheim
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 155ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 146ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 207ms/step
1/1 [==============================] - 0s 144ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 149ms/step
1/1 [==============================] - 0s 145ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 205ms/step
This is a Rottweiler
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 144ms/step
This is a Rottweiler
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Rottweiler
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 170ms/step
This is a Rottweiler
1/1 [==============================] - 0s 142ms/step
1/1 [==============================] - 0s 166ms/step
This is a Rottweiler
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 148ms/step
This is a Rottweiler
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a Rottweiler
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Rottweiler
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Elk Hound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Elk Hound
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 169ms/step
This is a Elk Hound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a Elk Hound
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 144ms/step
This is a Elk Hound
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 133ms/step
This is a Elk Hound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 141ms/step
This is a Elk Hound
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 136ms/step
This is a Elk Hound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 138ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 144ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 130ms/step
This is a Schnauzer
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 182ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 145ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 136ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 161ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 168ms/step
1/1 [==============================] - 0s 238ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 167ms/step
1/1 [==============================] - 0s 194ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 155ms/step
1/1 [==============================] - 0s 163ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 170ms/step
This is a Pomeranian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Pomeranian
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 229ms/step
This is a Pomeranian
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 151ms/step
This is a Pomeranian
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pomeranian
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pomeranian
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 142ms/step
This is a Pomeranian
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 136ms/step
This is a Pomeranian
1/1 [==============================] - 0s 145ms/step
1/1 [==============================] - 0s 145ms/step
This is a Pekinese
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 137ms/step
This is a Pekinese
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pekinese
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 148ms/step
This is a Pekinese
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 149ms/step
This is a Pekinese
1/1 [==============================] - 0s 190ms/step
1/1 [==============================] - 0s 152ms/step
This is a Pekinese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 199ms/step
This is a Pekinese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pekinese
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 142ms/step
This is a Pit Bull
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 144ms/step
This is a Pit Bull
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Pit Bull
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pit Bull
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 217ms/step
This is a Pit Bull
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 141ms/step
This is a Pit Bull
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 202ms/step
This is a Pit Bull
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 137ms/step
This is a Pit Bull
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 142ms/step
This is a Basenji
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 130ms/step
This is a Basenji
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Basenji
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 134ms/step
This is a Basenji
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 127ms/step
This is a Basenji
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a Basenji
1/1 [==============================] - 0s 213ms/step
1/1 [==============================] - 0s 134ms/step
This is a Basenji
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Basenji
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 147ms/step
This is a French Bulldog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a French Bulldog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a French Bulldog
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 147ms/step
This is a French Bulldog
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a French Bulldog
1/1 [==============================] - 0s 145ms/step
1/1 [==============================] - 0s 134ms/step
This is a French Bulldog
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 137ms/step
This is a French Bulldog
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a French Bulldog
1/1 [==============================] - 0s 193ms/step
1/1 [==============================] - 0s 150ms/step
This is a Coyote
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 179ms/step
This is a Coyote
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 162ms/step
This is a Coyote
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 146ms/step
This is a Coyote
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 147ms/step
This is a Coyote
1/1 [==============================] - 0s 151ms/step
1/1 [==============================] - 0s 247ms/step
This is a Coyote
1/1 [==============================] - 0s 168ms/step
1/1 [==============================] - 0s 144ms/step
This is a Coyote
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Coyote
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 138ms/step
This is a Komondor
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Komondor
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Komondor
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 142ms/step
This is a Komondor
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 137ms/step
This is a Komondor
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 140ms/step
This is a Komondor
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 135ms/step
This is a Komondor
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Komondor
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Great Perenees
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 226ms/step
This is a Great Perenees
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Great Perenees
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 192ms/step
This is a Great Perenees
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 158ms/step
This is a Great Perenees
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 214ms/step
This is a Great Perenees
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 192ms/step
This is a Great Perenees
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 139ms/step
This is a Great Perenees
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 157ms/step
This is a Basset
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 157ms/step
This is a Basset
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 146ms/step
This is a Basset
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 134ms/step
This is a Basset
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 138ms/step
This is a Basset
1/1 [==============================] - 0s 240ms/step
1/1 [==============================] - 0s 167ms/step
This is a Basset
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 139ms/step
This is a Basset
1/1 [==============================] - 0s 177ms/step
1/1 [==============================] - 0s 200ms/step
This is a Basset
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Great Dane
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 218ms/step
This is a Great Dane
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Great Dane
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 138ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 143ms/step
This is a Great Dane
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 158ms/step
This is a Great Dane
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 145ms/step
This is a Great Dane
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Great Dane
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 167ms/step
This is a Dhole
1/1 [==============================] - 0s 174ms/step
1/1 [==============================] - 0s 177ms/step
This is a Dhole
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 145ms/step
This is a Dhole
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 150ms/step
This is a Dhole
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Dhole
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 133ms/step
This is a Dhole
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Dhole
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 166ms/step
This is a Dhole
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 150ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 143ms/step
This is a Lhasa
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 169ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 137ms/step
This is a Lhasa
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 296ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 130ms/step
This is a Lhasa
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 153ms/step
This is a Maltese
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 133ms/step
This is a Lhasa
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 128ms/step
This is a Labrador
1/1 [==============================] - 0s 155ms/step
1/1 [==============================] - 0s 133ms/step
This is a Labrador
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 144ms/step
This is a Labrador
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 155ms/step
This is a Labrador
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 139ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Labrador
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Labrador
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 148ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 166ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 146ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 141ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 146ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 136ms/step
This is a Cocker
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Cocker
1/1 [==============================] - 0s 141ms/step
1/1 [==============================] - 0s 187ms/step
This is a Cocker
1/1 [==============================] - 0s 190ms/step
1/1 [==============================] - 0s 228ms/step
This is a Cocker
1/1 [==============================] - 0s 211ms/step
1/1 [==============================] - 0s 135ms/step
This is a Cocker
1/1 [==============================] - 0s 145ms/step
1/1 [==============================] - 0s 165ms/step
This is a Cocker
1/1 [==============================] - 0s 171ms/step
1/1 [==============================] - 0s 258ms/step
This is a Cocker
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 131ms/step
This is a American Spaniel
1/1 [==============================] - 0s 164ms/step
1/1 [==============================] - 0s 199ms/step
This is a Chihuahua
1/1 [==============================] - 0s 147ms/step
1/1 [==============================] - 0s 180ms/step
This is a Chihuahua
1/1 [==============================] - 0s 170ms/step
1/1 [==============================] - 0s 150ms/step
This is a Chihuahua
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Chihuahua
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 123ms/step
This is a Chihuahua
1/1 [==============================] - 0s 161ms/step
1/1 [==============================] - 0s 131ms/step
This is a Chihuahua
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 156ms/step
This is a Chihuahua
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 154ms/step
This is a Chihuahua
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 144ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 152ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 233ms/step
This is a Dingo
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 142ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 156ms/step
This is a Newfoundland
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 144ms/step
This is a Newfoundland
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 141ms/step
This is a Newfoundland
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 185ms/step
This is a Newfoundland
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Newfoundland
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 165ms/step
This is a Newfoundland
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 141ms/step
This is a Newfoundland
1/1 [==============================] - 0s 168ms/step
1/1 [==============================] - 0s 378ms/step
This is a Newfoundland
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 145ms/step
This is a Dalmation
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dalmation
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 242ms/step
This is a Dalmation
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dalmation
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dalmation
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Dalmation
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 152ms/step
This is a Dalmation
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dalmation
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 149ms/step
This is a Basenji
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 150ms/step
1/1 [==============================] - 0s 147ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 144ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 151ms/step
1/1 [==============================] - 0s 199ms/step
This is a Pug
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Pug
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pug
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pug
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 180ms/step
This is a Pug
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pug
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 136ms/step
This is a Pug
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 130ms/step
This is a Pug
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 135ms/step
This is a Afghan
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Afghan
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 137ms/step
This is a Afghan
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 132ms/step
This is a Afghan
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Afghan
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Afghan
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Afghan
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 128ms/step
This is a Afghan
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 181ms/step
This is a Cairn
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cairn
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 157ms/step
This is a Cairn
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Cairn
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Cairn
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 137ms/step
This is a Cairn
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cairn
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Cairn
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 133ms/step
This is a Beagle
1/1 [==============================] - 0s 160ms/step
1/1 [==============================] - 0s 154ms/step
This is a Beagle
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 141ms/step
This is a Beagle
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 139ms/step
This is a Beagle
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 141ms/step
This is a Beagle
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 171ms/step
This is a Beagle
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Beagle
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 148ms/step
This is a Beagle
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 149ms/step
This is a Cockapoo
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 131ms/step
This is a Labradoodle
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Cockapoo
1/1 [==============================] - 0s 144ms/step
1/1 [==============================] - 0s 250ms/step
This is a Cockapoo
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 151ms/step
This is a Cockapoo
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 233ms/step
This is a Cockapoo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 143ms/step
This is a Labradoodle
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 139ms/step
This is a Vizsla
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 151ms/step
This is a Vizsla
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 131ms/step
This is a Vizsla
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 132ms/step
This is a Vizsla
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Vizsla
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 135ms/step
This is a Vizsla
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 136ms/step
This is a Vizsla
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 152ms/step
This is a Vizsla
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 134ms/step
This is a Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Collie
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Collie
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Collie
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 164ms/step
This is a Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a Collie
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 316ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 155ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 135ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 239ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a American Spaniel
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a American Spaniel
1/1 [==============================] - 0s 192ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a American Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 156ms/step
1/1 [==============================] - 0s 147ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 133ms/step
This is a American Spaniel
1/1 [==============================] - 0s 179ms/step
1/1 [==============================] - 0s 141ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 136ms/step
This is a Maltese
1/1 [==============================] - 0s 173ms/step
1/1 [==============================] - 0s 208ms/step
This is a Maltese
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 201ms/step
This is a Maltese
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 195ms/step
This is a Maltese
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Maltese
1/1 [==============================] - 0s 172ms/step
1/1 [==============================] - 0s 149ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 223ms/step
1/1 [==============================] - 0s 195ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 136ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 142ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 146ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 194ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Doberman
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 131ms/step
This is a Doberman
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Doberman
1/1 [==============================] - 0s 176ms/step
1/1 [==============================] - 0s 231ms/step
This is a Doberman
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Doberman
1/1 [==============================] - 0s 170ms/step
1/1 [==============================] - 0s 158ms/step
This is a Doberman
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 209ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 143ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 137ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 148ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 184ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 225ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 147ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 180ms/step
This is a German Sheperd
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a German Sheperd
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 147ms/step
This is a German Sheperd
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 147ms/step
This is a German Sheperd
1/1 [==============================] - 0s 181ms/step
1/1 [==============================] - 0s 161ms/step
This is a German Sheperd
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a German Sheperd
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a German Sheperd
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 130ms/step
This is a German Sheperd
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 146ms/step
This is a Komondor
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 142ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 131ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 259ms/step
This is a Labradoodle
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 132ms/step
This is a Cockapoo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 128ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Groenendael
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 140ms/step
This is a Groenendael
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 142ms/step
This is a Groenendael
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 163ms/step
This is a Groenendael
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 139ms/step
This is a Groenendael
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Groenendael
1/1 [==============================] - 0s 156ms/step
1/1 [==============================] - 0s 220ms/step
This is a Groenendael
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Groenendael
1/1 [==============================] - 0s 245ms/step
1/1 [==============================] - 0s 192ms/step
This is a Border Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a Border Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 139ms/step
This is a Border Collie
1/1 [==============================] - 0s 103ms/step
1/1 [==============================] - 0s 129ms/step
This is a Border Collie
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 248ms/step
This is a Border Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 139ms/step
This is a Border Collie
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 129ms/step
This is a Border Collie
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Border Collie
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 199ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 138ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 150ms/step
1/1 [==============================] - 0s 130ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 197ms/step
1/1 [==============================] - 0s 144ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 143ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 145ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 128ms/step
This is a Bermaise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bermaise
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bermaise
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bermaise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bermaise
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bermaise
1/1 [==============================] - 0s 182ms/step
1/1 [==============================] - 0s 209ms/step
This is a Bermaise
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bermaise
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 131ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 148ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 138ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 181ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 130ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 138ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 141ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 140ms/step
This is a Rhodesian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 145ms/step
This is a Rhodesian
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 134ms/step
This is a Rhodesian
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 131ms/step
This is a Rhodesian
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 144ms/step
This is a Rhodesian
1/1 [==============================] - 0s 147ms/step
1/1 [==============================] - 0s 142ms/step
This is a Rhodesian
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Rhodesian
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 150ms/step
This is a Rhodesian
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 131ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 253ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 128ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 127ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 143ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 152ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 141ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 167ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 136ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 182ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 138ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 155ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 139ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 134ms/step
This is a Borzoi
1/1 [==============================] - 0s 164ms/step
1/1 [==============================] - 0s 146ms/step
This is a Borzoi
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 153ms/step
This is a Borzoi
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 147ms/step
This is a Borzoi
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 164ms/step
This is a Borzoi
1/1 [==============================] - 0s 151ms/step
1/1 [==============================] - 0s 233ms/step
This is a Borzoi
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a Borzoi
1/1 [==============================] - 0s 240ms/step
1/1 [==============================] - 0s 147ms/step
This is a Borzoi
1/1 [==============================] - 0s 177ms/step
1/1 [==============================] - 0s 298ms/step
This is a Chow
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 146ms/step
This is a Chow
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 145ms/step
This is a Chow
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 142ms/step
This is a Chow
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 126ms/step
This is a Chow
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Chow
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 127ms/step
This is a Chow
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 128ms/step
This is a Chow
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 135ms/step
This is a Airedale
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 169ms/step
This is a Airedale
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 126ms/step
This is a Airedale
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 129ms/step
This is a Airedale
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 127ms/step
This is a Airedale
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 147ms/step
This is a Airedale
1/1 [==============================] - 0s 229ms/step
1/1 [==============================] - 0s 161ms/step
This is a Airedale
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Airedale
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 224ms/step
This is a Dingo
1/1 [==============================] - 0s 232ms/step
1/1 [==============================] - 0s 146ms/step
This is a Dingo
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 154ms/step
This is a Dingo
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 131ms/step
This is a Dingo
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 143ms/step
This is a Dingo
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Dingo
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 142ms/step
This is a Dingo
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 206ms/step
This is a Dingo
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 138ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a American Hairless
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a American Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 139ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 125ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 127ms/step
This is a American Hairless
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 140ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 135ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 148ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 126ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 139ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 168ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 139ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 183ms/step
This is a Poodle
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 134ms/step
This is a Poodle
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 165ms/step
This is a Poodle
1/1 [==============================] - 0s 156ms/step
1/1 [==============================] - 0s 140ms/step
This is a Poodle
1/1 [==============================] - 0s 170ms/step
1/1 [==============================] - 0s 169ms/step
This is a Poodle
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Poodle
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 178ms/step
This is a Poodle
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 134ms/step
This is a Poodle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 143ms/step
This is a Malinois
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a German Sheperd
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Malinois
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Malinois
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Malinois
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Malinois
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 128ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 145ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 134ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 132ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 137ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Clumber
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Clumber
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 131ms/step
This is a Clumber
1/1 [==============================] - 0s 150ms/step
1/1 [==============================] - 0s 158ms/step
This is a Clumber
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Clumber
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 136ms/step
This is a Clumber
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 138ms/step
This is a Clumber
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 137ms/step
This is a Clumber
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Boxer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Boxer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Boxer
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Boxer
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Boxer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Boxer
1/1 [==============================] - 0s 199ms/step
1/1 [==============================] - 0s 150ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Boxer
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a French Bulldog
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bloodhound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bloodhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bloodhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bloodhound
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bloodhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bluetick
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bluetick
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bluetick
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 153ms/step
This is a Bluetick
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bluetick
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bluetick
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bluetick
1/1 [==============================] - 0s 208ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bluetick
The accuracy: 0.9160714285714285
In [ ]:
print(f"validation accuracy: {acc_valid_1:.3f}")
validation accuracy: 0.916
w1=0.3¶
In [ ]:
acc_valid_2 = accuracy(set='valid', w1=0.3, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 203ms/step
This is a Yorkie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 155ms/step
This is a Yorkie
1/1 [==============================] - 0s 146ms/step
1/1 [==============================] - 0s 138ms/step
This is a Yorkie
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 146ms/step
This is a Yorkie
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 134ms/step
This is a Yorkie
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 160ms/step
This is a Yorkie
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 133ms/step
This is a Yorkie
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 144ms/step
This is a Yorkie
1/1 [==============================] - 0s 237ms/step
1/1 [==============================] - 0s 275ms/step
This is a Greyhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 276ms/step
This is a Greyhound
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 165ms/step
This is a Greyhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 189ms/step
This is a Greyhound
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 159ms/step
This is a Greyhound
1/1 [==============================] - 0s 146ms/step
1/1 [==============================] - 0s 267ms/step
This is a Greyhound
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 153ms/step
This is a Greyhound
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 153ms/step
This is a Greyhound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 146ms/step
This is a Corgi
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 156ms/step
This is a Corgi
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 343ms/step
This is a Corgi
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 156ms/step
This is a Corgi
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Corgi
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 136ms/step
This is a Corgi
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 224ms/step
This is a Corgi
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 145ms/step
This is a Corgi
1/1 [==============================] - 0s 163ms/step
1/1 [==============================] - 0s 185ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 149ms/step
1/1 [==============================] - 0s 156ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 171ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 155ms/step
1/1 [==============================] - 0s 137ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 167ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 145ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 163ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 214ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 163ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 156ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 194ms/step
This is a French Bulldog
1/1 [==============================] - 0s 174ms/step
1/1 [==============================] - 0s 226ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 141ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 133ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 138ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 296ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 142ms/step
This is a Blenheim
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 185ms/step
This is a Blenheim
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 134ms/step
This is a Blenheim
1/1 [==============================] - 0s 147ms/step
1/1 [==============================] - 0s 148ms/step
This is a Blenheim
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 135ms/step
This is a Blenheim
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 150ms/step
This is a Blenheim
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 150ms/step
This is a Blenheim
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 140ms/step
This is a Blenheim
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 144ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 195ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 169ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 140ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 172ms/step
1/1 [==============================] - 0s 196ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 150ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 133ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 163ms/step
1/1 [==============================] - 0s 145ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 151ms/step
1/1 [==============================] - 0s 150ms/step
This is a Rottweiler
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 140ms/step
This is a Rottweiler
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 144ms/step
This is a Rottweiler
1/1 [==============================] - 0s 170ms/step
1/1 [==============================] - 0s 154ms/step
This is a Rottweiler
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 173ms/step
This is a Rottweiler
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 145ms/step
This is a Rottweiler
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Rottweiler
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 145ms/step
This is a Rottweiler
1/1 [==============================] - 0s 265ms/step
1/1 [==============================] - 0s 245ms/step
This is a Elk Hound
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 150ms/step
This is a Elk Hound
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 169ms/step
This is a Elk Hound
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 189ms/step
This is a Elk Hound
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 145ms/step
This is a Elk Hound
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 158ms/step
This is a Elk Hound
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 146ms/step
This is a Elk Hound
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 174ms/step
This is a Elk Hound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 159ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 151ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 136ms/step
This is a Schnauzer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 140ms/step
This is a Schnauzer
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 157ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 193ms/step
This is a Schnauzer
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 135ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 155ms/step
This is a Schnauzer
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 168ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 151ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 152ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 153ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 145ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 154ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 151ms/step
This is a Pomeranian
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 137ms/step
This is a Pomeranian
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 139ms/step
This is a Pomeranian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pomeranian
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 169ms/step
This is a Pomeranian
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pomeranian
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pomeranian
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pomeranian
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 168ms/step
This is a Pekinese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pekinese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pekinese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 149ms/step
This is a Pekinese
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 165ms/step
This is a Pekinese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pekinese
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 166ms/step
This is a Pekinese
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 154ms/step
This is a Pekinese
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 141ms/step
This is a Pit Bull
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 146ms/step
This is a Pit Bull
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 144ms/step
This is a Pit Bull
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pit Bull
1/1 [==============================] - 0s 159ms/step
1/1 [==============================] - 0s 139ms/step
This is a Pit Bull
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 130ms/step
This is a Pit Bull
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 158ms/step
This is a Pit Bull
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 140ms/step
This is a Pit Bull
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 131ms/step
This is a Basenji
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 150ms/step
This is a Basenji
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 147ms/step
This is a Basenji
1/1 [==============================] - 0s 165ms/step
1/1 [==============================] - 0s 177ms/step
This is a Basenji
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 144ms/step
This is a Basenji
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 165ms/step
This is a Basenji
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 193ms/step
This is a Basenji
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 154ms/step
This is a Basenji
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 132ms/step
This is a French Bulldog
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 180ms/step
This is a French Bulldog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 137ms/step
This is a French Bulldog
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 133ms/step
This is a French Bulldog
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 167ms/step
This is a French Bulldog
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a French Bulldog
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 144ms/step
This is a French Bulldog
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 131ms/step
This is a French Bulldog
1/1 [==============================] - 0s 155ms/step
1/1 [==============================] - 0s 142ms/step
This is a Coyote
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 142ms/step
This is a Coyote
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 160ms/step
This is a Coyote
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 147ms/step
This is a Coyote
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 131ms/step
This is a Coyote
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 130ms/step
This is a Coyote
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 137ms/step
This is a Coyote
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 156ms/step
This is a Coyote
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 145ms/step
This is a Komondor
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 132ms/step
This is a Komondor
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 155ms/step
This is a Komondor
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 152ms/step
This is a Komondor
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 150ms/step
This is a Komondor
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 146ms/step
This is a Komondor
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 143ms/step
This is a Komondor
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 155ms/step
This is a Komondor
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 143ms/step
This is a Great Perenees
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Great Perenees
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 144ms/step
This is a Great Perenees
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 150ms/step
This is a Great Perenees
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 242ms/step
This is a Great Perenees
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 147ms/step
This is a Great Perenees
1/1 [==============================] - 0s 219ms/step
1/1 [==============================] - 0s 424ms/step
This is a Great Perenees
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 163ms/step
This is a Great Perenees
1/1 [==============================] - 0s 162ms/step
1/1 [==============================] - 0s 199ms/step
This is a Basset
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 254ms/step
This is a Basset
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 172ms/step
This is a Basset
1/1 [==============================] - 0s 181ms/step
1/1 [==============================] - 0s 273ms/step
This is a Basset
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 163ms/step
This is a Basset
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 153ms/step
This is a Basset
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 145ms/step
This is a Basset
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 148ms/step
This is a Basset
1/1 [==============================] - 0s 179ms/step
1/1 [==============================] - 0s 176ms/step
This is a Great Dane
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 169ms/step
This is a Great Dane
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 156ms/step
This is a Great Dane
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 169ms/step
This is a Great Dane
1/1 [==============================] - 0s 165ms/step
1/1 [==============================] - 0s 157ms/step
This is a Great Dane
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Great Dane
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 150ms/step
This is a Great Dane
1/1 [==============================] - 0s 146ms/step
1/1 [==============================] - 0s 129ms/step
This is a Great Dane
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 169ms/step
This is a Dhole
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 139ms/step
This is a Dhole
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dhole
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dhole
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dhole
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Dhole
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dhole
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Dhole
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 184ms/step
1/1 [==============================] - 0s 193ms/step
This is a Lhasa
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Lhasa
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Lhasa
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Maltese
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 149ms/step
This is a Lhasa
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 130ms/step
This is a Labrador
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 130ms/step
This is a Labrador
1/1 [==============================] - 0s 102ms/step
1/1 [==============================] - 0s 129ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 143ms/step
This is a Labrador
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 142ms/step
This is a Labrador
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 139ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Great Perenees
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 155ms/step
This is a Labrador
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 150ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 176ms/step
1/1 [==============================] - 0s 243ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 181ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 144ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 160ms/step
1/1 [==============================] - 0s 237ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 153ms/step
1/1 [==============================] - 0s 148ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 128ms/step
This is a Cocker
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cocker
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cocker
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cocker
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 138ms/step
This is a Cocker
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 126ms/step
This is a Cocker
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 126ms/step
This is a Cocker
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 146ms/step
This is a American Spaniel
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 152ms/step
This is a Chihuahua
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chihuahua
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 137ms/step
This is a Chihuahua
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 142ms/step
This is a Chihuahua
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chihuahua
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 136ms/step
This is a Chihuahua
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Chihuahua
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 139ms/step
This is a Chihuahua
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 132ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 140ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 179ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 158ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 212ms/step
This is a Newfoundland
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 139ms/step
This is a Newfoundland
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 184ms/step
This is a Newfoundland
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 147ms/step
This is a Newfoundland
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 144ms/step
This is a Newfoundland
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a Newfoundland
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Newfoundland
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 194ms/step
This is a Newfoundland
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Dalmation
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dalmation
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Dalmation
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Dalmation
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 170ms/step
This is a Dalmation
1/1 [==============================] - 0s 153ms/step
1/1 [==============================] - 0s 161ms/step
This is a Dalmation
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 180ms/step
This is a Dalmation
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 142ms/step
This is a Dalmation
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 177ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basenji
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 148ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 150ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 164ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 184ms/step
1/1 [==============================] - 0s 216ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 144ms/step
1/1 [==============================] - 0s 162ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 150ms/step
1/1 [==============================] - 0s 194ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 163ms/step
This is a Pug
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pug
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 190ms/step
This is a Pug
1/1 [==============================] - 0s 250ms/step
1/1 [==============================] - 0s 292ms/step
This is a Pug
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 156ms/step
This is a Pug
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 167ms/step
This is a Pug
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 289ms/step
This is a Pug
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 145ms/step
This is a Pug
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Afghan
1/1 [==============================] - 0s 197ms/step
1/1 [==============================] - 0s 197ms/step
This is a Afghan
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Afghan
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Afghan
1/1 [==============================] - 0s 162ms/step
1/1 [==============================] - 0s 213ms/step
This is a Afghan
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 157ms/step
This is a Afghan
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Afghan
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 161ms/step
This is a Afghan
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 162ms/step
This is a Cairn
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Cairn
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 130ms/step
This is a Cairn
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cairn
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 127ms/step
This is a Cairn
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Cairn
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cairn
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 128ms/step
This is a Cairn
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 128ms/step
This is a Beagle
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Beagle
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Beagle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Beagle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Beagle
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Beagle
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 138ms/step
This is a Beagle
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 180ms/step
This is a Beagle
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Cockapoo
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Labradoodle
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Cockapoo
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 142ms/step
This is a Cockapoo
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cockapoo
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cockapoo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Labradoodle
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Vizsla
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Vizsla
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 127ms/step
This is a Vizsla
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Vizsla
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 130ms/step
This is a Vizsla
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 125ms/step
This is a Vizsla
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 129ms/step
This is a Vizsla
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Vizsla
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a Collie
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 131ms/step
This is a Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 201ms/step
This is a Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 127ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 138ms/step
This is a American Spaniel
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 128ms/step
This is a American Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a American Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 128ms/step
This is a American Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a American Spaniel
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 132ms/step
This is a Maltese
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Maltese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Maltese
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Maltese
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Maltese
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Maltese
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 138ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Doberman
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Doberman
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Doberman
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Doberman
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Doberman
1/1 [==============================] - 0s 208ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 159ms/step
1/1 [==============================] - 0s 167ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 144ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 127ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 128ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a German Sheperd
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a German Sheperd
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a German Sheperd
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a German Sheperd
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 127ms/step
This is a German Sheperd
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 135ms/step
This is a German Sheperd
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 129ms/step
This is a German Sheperd
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a German Sheperd
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Komondor
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Labradoodle
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 235ms/step
1/1 [==============================] - 0s 142ms/step
This is a Cockapoo
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 130ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 127ms/step
This is a Cockapoo
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 162ms/step
This is a Groenendael
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 128ms/step
This is a Groenendael
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 133ms/step
This is a Groenendael
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 133ms/step
This is a Groenendael
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 145ms/step
This is a Groenendael
1/1 [==============================] - 0s 190ms/step
1/1 [==============================] - 0s 214ms/step
This is a Groenendael
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 136ms/step
This is a Groenendael
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Groenendael
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Border Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Border Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Border Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 149ms/step
This is a Border Collie
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 130ms/step
This is a Border Collie
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 131ms/step
This is a Border Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 146ms/step
This is a Border Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 156ms/step
This is a Border Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 162ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 137ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 189ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 144ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 145ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 156ms/step
1/1 [==============================] - 0s 184ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 222ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 144ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 152ms/step
This is a Bermaise
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bermaise
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bermaise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 149ms/step
This is a Bermaise
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 176ms/step
This is a Bermaise
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 158ms/step
This is a Bermaise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bermaise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 137ms/step
This is a Bermaise
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 134ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 131ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 131ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 165ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 144ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 142ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 155ms/step
This is a Rhodesian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Rhodesian
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 148ms/step
This is a Rhodesian
1/1 [==============================] - 0s 167ms/step
1/1 [==============================] - 0s 154ms/step
This is a Rhodesian
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Rhodesian
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 149ms/step
This is a Rhodesian
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 143ms/step
This is a Rhodesian
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Rhodesian
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 145ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 137ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 147ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 130ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 138ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Borzoi
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Borzoi
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Borzoi
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Borzoi
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a Borzoi
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 214ms/step
This is a Borzoi
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 171ms/step
This is a Borzoi
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 130ms/step
This is a Borzoi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Chow
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 144ms/step
This is a Chow
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chow
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Chow
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chow
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Chow
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Chow
1/1 [==============================] - 0s 196ms/step
1/1 [==============================] - 0s 158ms/step
This is a Chow
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 160ms/step
This is a Airedale
1/1 [==============================] - 0s 209ms/step
1/1 [==============================] - 0s 140ms/step
This is a Airedale
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 131ms/step
This is a Airedale
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Airedale
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 164ms/step
This is a Airedale
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 138ms/step
This is a Airedale
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Airedale
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 140ms/step
This is a Airedale
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dingo
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 205ms/step
This is a Dingo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dingo
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Dingo
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dingo
1/1 [==============================] - 0s 163ms/step
1/1 [==============================] - 0s 149ms/step
This is a Dingo
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Dingo
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 127ms/step
This is a Dingo
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Hairless
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a American Hairless
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 128ms/step
This is a American Hairless
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 127ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a American Hairless
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a American Hairless
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 160ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 153ms/step
1/1 [==============================] - 0s 213ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 140ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Poodle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Poodle
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Poodle
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 174ms/step
This is a Poodle
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Poodle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Poodle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Poodle
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a Poodle
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 138ms/step
This is a German Sheperd
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 190ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Malinois
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 136ms/step
This is a Malinois
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Malinois
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Malinois
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 150ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 137ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 168ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 228ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Clumber
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 160ms/step
This is a Clumber
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a Clumber
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Clumber
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Clumber
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Clumber
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 130ms/step
This is a Clumber
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Clumber
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Boxer
1/1 [==============================] - 0s 156ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Boxer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Boxer
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 132ms/step
This is a Boxer
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Boxer
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Boxer
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a French Bulldog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 229ms/step
This is a Bloodhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bloodhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bloodhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bloodhound
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bloodhound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bloodhound
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 146ms/step
This is a Bloodhound
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 144ms/step
This is a Bloodhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bluetick
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 157ms/step
This is a Bluetick
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 147ms/step
This is a Bluetick
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bluetick
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bluetick
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bluetick
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bluetick
1/1 [==============================] - 0s 189ms/step
1/1 [==============================] - 0s 150ms/step
This is a Bluetick
The accuracy: 0.9303571428571429
In [ ]:
print(f"validation accuracy: {acc_valid_2:.3f}")
validation accuracy: 0.930
w1=0.5¶
In [ ]:
acc_valid_3 = accuracy(set='valid', w1=0.5, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 156ms/step
This is a Yorkie
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 176ms/step
This is a Yorkie
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 136ms/step
This is a Yorkie
1/1 [==============================] - 0s 190ms/step
1/1 [==============================] - 0s 142ms/step
This is a Yorkie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Yorkie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Yorkie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 128ms/step
This is a Yorkie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Yorkie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a Greyhound
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 133ms/step
This is a Greyhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Greyhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a Greyhound
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 142ms/step
This is a Greyhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Greyhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Greyhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Greyhound
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Corgi
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 134ms/step
This is a Corgi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a Corgi
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Corgi
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 127ms/step
This is a Corgi
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 128ms/step
This is a Corgi
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Corgi
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a Corgi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 147ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 131ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 130ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 197ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 141ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a French Bulldog
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 136ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 127ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 127ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 152ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 138ms/step
This is a Blenheim
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Blenheim
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 139ms/step
This is a Blenheim
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 142ms/step
This is a Blenheim
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Blenheim
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 139ms/step
This is a Blenheim
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 142ms/step
This is a Blenheim
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Blenheim
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 173ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 172ms/step
1/1 [==============================] - 0s 159ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 131ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 134ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 141ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Rottweiler
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Rottweiler
1/1 [==============================] - 0s 146ms/step
1/1 [==============================] - 0s 144ms/step
This is a Rottweiler
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 175ms/step
This is a Rottweiler
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Rottweiler
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 130ms/step
This is a Rottweiler
1/1 [==============================] - 0s 158ms/step
1/1 [==============================] - 0s 144ms/step
This is a Rottweiler
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Rottweiler
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 132ms/step
This is a Elk Hound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 136ms/step
This is a Elk Hound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Elk Hound
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 136ms/step
This is a Elk Hound
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 145ms/step
This is a Elk Hound
1/1 [==============================] - 0s 159ms/step
1/1 [==============================] - 0s 131ms/step
This is a Elk Hound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Elk Hound
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 134ms/step
This is a Elk Hound
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 288ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 142ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Schnauzer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Schnauzer
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 133ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Schnauzer
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 130ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 180ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 151ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 208ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 146ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 142ms/step
This is a Pomeranian
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 146ms/step
This is a Pomeranian
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 150ms/step
This is a Pomeranian
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pomeranian
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pomeranian
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 173ms/step
This is a Pomeranian
1/1 [==============================] - 0s 162ms/step
1/1 [==============================] - 0s 207ms/step
This is a Pomeranian
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pomeranian
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 174ms/step
This is a Pekinese
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 272ms/step
This is a Pekinese
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pekinese
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Pekinese
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 160ms/step
This is a Pekinese
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 144ms/step
This is a Pekinese
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 130ms/step
This is a Pekinese
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pekinese
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 146ms/step
This is a Pit Bull
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Pit Bull
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pit Bull
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pit Bull
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pit Bull
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pit Bull
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 139ms/step
This is a Pit Bull
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pit Bull
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Basenji
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Basenji
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Basenji
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 142ms/step
This is a Basenji
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Basenji
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Basenji
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Basenji
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Basenji
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a French Bulldog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 127ms/step
This is a French Bulldog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a French Bulldog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 140ms/step
This is a French Bulldog
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 172ms/step
This is a French Bulldog
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a French Bulldog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a French Bulldog
1/1 [==============================] - 0s 144ms/step
1/1 [==============================] - 0s 149ms/step
This is a French Bulldog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Coyote
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 141ms/step
This is a Coyote
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 154ms/step
This is a Coyote
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Coyote
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 164ms/step
This is a Coyote
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 136ms/step
This is a Coyote
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 149ms/step
This is a Coyote
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Coyote
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 143ms/step
This is a Komondor
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 138ms/step
This is a Komondor
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a Komondor
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 137ms/step
This is a Komondor
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Komondor
1/1 [==============================] - 0s 156ms/step
1/1 [==============================] - 0s 200ms/step
This is a Komondor
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 218ms/step
This is a Komondor
1/1 [==============================] - 0s 171ms/step
1/1 [==============================] - 0s 187ms/step
This is a Komondor
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Great Perenees
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 131ms/step
This is a Great Perenees
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 144ms/step
This is a Great Perenees
1/1 [==============================] - 0s 204ms/step
1/1 [==============================] - 0s 183ms/step
This is a Great Perenees
1/1 [==============================] - 0s 200ms/step
1/1 [==============================] - 0s 152ms/step
This is a Great Perenees
1/1 [==============================] - 0s 216ms/step
1/1 [==============================] - 0s 195ms/step
This is a Great Perenees
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 150ms/step
This is a Great Perenees
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Great Perenees
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 139ms/step
This is a Basset
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 143ms/step
This is a Basset
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 130ms/step
This is a Basset
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 129ms/step
This is a Basset
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Basset
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 144ms/step
This is a Basset
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 209ms/step
This is a Basset
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 135ms/step
This is a Basset
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Great Dane
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Great Dane
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 253ms/step
This is a Great Dane
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 139ms/step
This is a Great Dane
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 159ms/step
This is a Great Dane
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a Great Dane
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Great Dane
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 130ms/step
This is a Great Dane
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dhole
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dhole
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 170ms/step
This is a Dhole
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dhole
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dhole
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 127ms/step
This is a Dhole
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 172ms/step
This is a Dhole
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dhole
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 141ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Lhasa
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 160ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 185ms/step
This is a Lhasa
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Lhasa
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 137ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Lhasa
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 135ms/step
This is a Labrador
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a Labrador
1/1 [==============================] - 0s 219ms/step
1/1 [==============================] - 0s 133ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 160ms/step
This is a Labrador
1/1 [==============================] - 0s 308ms/step
1/1 [==============================] - 0s 167ms/step
This is a Labrador
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 157ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 189ms/step
This is a Great Perenees
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 134ms/step
This is a Labrador
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 128ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 201ms/step
This is a Maltese
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 157ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 179ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 139ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 136ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 149ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 150ms/step
1/1 [==============================] - 0s 164ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 135ms/step
This is a Cocker
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Cocker
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 146ms/step
This is a Cocker
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 159ms/step
This is a Cocker
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cocker
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 141ms/step
This is a Cocker
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 147ms/step
This is a Cocker
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 154ms/step
This is a American Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 189ms/step
This is a Chihuahua
1/1 [==============================] - 0s 232ms/step
1/1 [==============================] - 0s 267ms/step
This is a Chihuahua
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 147ms/step
This is a Chihuahua
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 147ms/step
This is a Chihuahua
1/1 [==============================] - 0s 240ms/step
1/1 [==============================] - 0s 143ms/step
This is a Chihuahua
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 139ms/step
This is a Chihuahua
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Chihuahua
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 154ms/step
This is a Chihuahua
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 142ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 103ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 152ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 144ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 182ms/step
1/1 [==============================] - 0s 209ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Newfoundland
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Newfoundland
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 147ms/step
This is a Newfoundland
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 145ms/step
This is a Newfoundland
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Newfoundland
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 128ms/step
This is a Newfoundland
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 141ms/step
This is a Newfoundland
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 190ms/step
This is a Newfoundland
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 174ms/step
This is a Dalmation
1/1 [==============================] - 0s 180ms/step
1/1 [==============================] - 0s 158ms/step
This is a Dalmation
1/1 [==============================] - 0s 163ms/step
1/1 [==============================] - 0s 166ms/step
This is a Dalmation
1/1 [==============================] - 0s 232ms/step
1/1 [==============================] - 0s 176ms/step
This is a Dalmation
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dalmation
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 134ms/step
This is a Dalmation
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dalmation
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 126ms/step
This is a Dalmation
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 150ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 135ms/step
This is a Basenji
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 143ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 151ms/step
1/1 [==============================] - 0s 218ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 150ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 156ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 180ms/step
1/1 [==============================] - 0s 163ms/step
This is a Pug
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 128ms/step
This is a Pug
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Pug
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 150ms/step
This is a Pug
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 140ms/step
This is a Pug
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pug
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 139ms/step
This is a Pug
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pug
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 146ms/step
This is a Afghan
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 156ms/step
This is a Afghan
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 147ms/step
This is a Afghan
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 140ms/step
This is a Afghan
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 128ms/step
This is a Afghan
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 144ms/step
This is a Afghan
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Afghan
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 132ms/step
This is a Afghan
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 177ms/step
This is a Cairn
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 141ms/step
This is a Cairn
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cairn
1/1 [==============================] - 0s 185ms/step
1/1 [==============================] - 0s 155ms/step
This is a Cairn
1/1 [==============================] - 0s 193ms/step
1/1 [==============================] - 0s 131ms/step
This is a Cairn
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 131ms/step
This is a Cairn
1/1 [==============================] - 0s 178ms/step
1/1 [==============================] - 0s 134ms/step
This is a Cairn
1/1 [==============================] - 0s 182ms/step
1/1 [==============================] - 0s 192ms/step
This is a Cairn
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 229ms/step
This is a Beagle
1/1 [==============================] - 0s 179ms/step
1/1 [==============================] - 0s 150ms/step
This is a Beagle
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 130ms/step
This is a Beagle
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Beagle
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Beagle
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Beagle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Beagle
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 134ms/step
This is a Beagle
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Cockapoo
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 137ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Labradoodle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cockapoo
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 134ms/step
This is a Cockapoo
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 152ms/step
This is a Cockapoo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Cockapoo
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 137ms/step
This is a Cockapoo
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 144ms/step
This is a Vizsla
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Vizsla
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 146ms/step
This is a Vizsla
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Vizsla
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Vizsla
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Vizsla
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a Vizsla
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Vizsla
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 137ms/step
This is a Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 140ms/step
This is a Collie
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 133ms/step
This is a Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Collie
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 131ms/step
This is a Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 138ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 185ms/step
1/1 [==============================] - 0s 227ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 127ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 132ms/step
This is a American Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a American Spaniel
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a American Spaniel
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 129ms/step
This is a American Spaniel
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 134ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a American Spaniel
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 129ms/step
This is a Maltese
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Maltese
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Maltese
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 178ms/step
This is a Maltese
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Maltese
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Maltese
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 127ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Doberman
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 208ms/step
This is a Doberman
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 142ms/step
This is a Doberman
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 127ms/step
This is a Doberman
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 242ms/step
1/1 [==============================] - 0s 205ms/step
This is a Doberman
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 146ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 146ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 135ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 146ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 158ms/step
This is a German Sheperd
1/1 [==============================] - 0s 218ms/step
1/1 [==============================] - 0s 198ms/step
This is a German Sheperd
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 141ms/step
This is a German Sheperd
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 156ms/step
This is a German Sheperd
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a German Sheperd
1/1 [==============================] - 0s 160ms/step
1/1 [==============================] - 0s 190ms/step
This is a German Sheperd
1/1 [==============================] - 0s 225ms/step
1/1 [==============================] - 0s 174ms/step
This is a German Sheperd
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a German Sheperd
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Komondor
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 127ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 125ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Labradoodle
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 144ms/step
This is a Cockapoo
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cockapoo
1/1 [==============================] - 0s 267ms/step
1/1 [==============================] - 0s 161ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 140ms/step
This is a Cockapoo
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Groenendael
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Groenendael
1/1 [==============================] - 0s 177ms/step
1/1 [==============================] - 0s 234ms/step
This is a Groenendael
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Groenendael
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 129ms/step
This is a Groenendael
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 136ms/step
This is a Groenendael
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a Groenendael
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Groenendael
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 203ms/step
This is a Border Collie
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 205ms/step
This is a Border Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 140ms/step
This is a Border Collie
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 151ms/step
This is a Border Collie
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 150ms/step
This is a Border Collie
1/1 [==============================] - 0s 251ms/step
1/1 [==============================] - 0s 133ms/step
This is a Border Collie
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 153ms/step
This is a Border Collie
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 149ms/step
This is a Border Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 159ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 155ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 130ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 143ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 175ms/step
1/1 [==============================] - 0s 190ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 211ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 165ms/step
1/1 [==============================] - 0s 215ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bermaise
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bermaise
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bermaise
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bermaise
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 173ms/step
This is a Bermaise
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bermaise
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 183ms/step
This is a Bermaise
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 163ms/step
This is a Bermaise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 145ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 134ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 128ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 131ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 145ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Rhodesian
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 135ms/step
This is a Rhodesian
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 130ms/step
This is a Rhodesian
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Rhodesian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Rhodesian
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Rhodesian
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 146ms/step
This is a Rhodesian
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 150ms/step
This is a Rhodesian
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 130ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 170ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 146ms/step
1/1 [==============================] - 0s 176ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 200ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 147ms/step
1/1 [==============================] - 0s 218ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 159ms/step
1/1 [==============================] - 0s 189ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 148ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 136ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 145ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 136ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 150ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 141ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 153ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 127ms/step
This is a Borzoi
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 133ms/step
This is a Borzoi
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 155ms/step
This is a Borzoi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Borzoi
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Borzoi
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 148ms/step
This is a Borzoi
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 143ms/step
This is a Borzoi
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Borzoi
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 209ms/step
This is a Chow
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a Chow
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chow
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 127ms/step
This is a Chow
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Chow
1/1 [==============================] - 0s 202ms/step
1/1 [==============================] - 0s 138ms/step
This is a Chow
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 212ms/step
This is a Chow
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 137ms/step
This is a Chow
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 139ms/step
This is a Airedale
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Airedale
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 135ms/step
This is a Airedale
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 177ms/step
This is a Airedale
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Airedale
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Airedale
1/1 [==============================] - 0s 141ms/step
1/1 [==============================] - 0s 134ms/step
This is a Airedale
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Airedale
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dingo
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dingo
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 128ms/step
This is a Dingo
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dingo
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Dingo
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dingo
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 131ms/step
This is a Dingo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Dingo
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 127ms/step
This is a American Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a American Hairless
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a American Hairless
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a American Hairless
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a American Hairless
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Poodle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Poodle
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 186ms/step
1/1 [==============================] - 0s 143ms/step
This is a Poodle
1/1 [==============================] - 0s 182ms/step
1/1 [==============================] - 0s 161ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 174ms/step
This is a Poodle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Poodle
1/1 [==============================] - 0s 147ms/step
1/1 [==============================] - 0s 203ms/step
This is a Poodle
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Malinois
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a German Sheperd
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 149ms/step
This is a Malinois
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 133ms/step
This is a Malinois
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Malinois
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Malinois
1/1 [==============================] - 0s 199ms/step
1/1 [==============================] - 0s 136ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Malinois
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 145ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 181ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 150ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 137ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 158ms/step
1/1 [==============================] - 0s 171ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 178ms/step
1/1 [==============================] - 0s 147ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 167ms/step
1/1 [==============================] - 0s 153ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 205ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 135ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 146ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 149ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 132ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Clumber
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Clumber
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Clumber
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 143ms/step
This is a Clumber
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Clumber
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Clumber
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Clumber
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 131ms/step
This is a Clumber
1/1 [==============================] - 0s 149ms/step
1/1 [==============================] - 0s 132ms/step
This is a Boxer
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 147ms/step
This is a Boxer
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 146ms/step
This is a Boxer
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 154ms/step
This is a Boxer
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 169ms/step
This is a Boxer
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 198ms/step
This is a Boxer
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 169ms/step
This is a Boxer
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 253ms/step
This is a Boxer
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 129ms/step
This is a Boxer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Boxer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 144ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Boxer
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 159ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 230ms/step
This is a Boxer
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 127ms/step
This is a Pit Bull
1/1 [==============================] - 0s 259ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bloodhound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bloodhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 158ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bloodhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bloodhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bloodhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 167ms/step
This is a Bloodhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 145ms/step
This is a Bluetick
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 222ms/step
This is a Bluetick
1/1 [==============================] - 0s 273ms/step
1/1 [==============================] - 0s 195ms/step
This is a Bluetick
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Bluetick
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 165ms/step
This is a Bluetick
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bluetick
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bluetick
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Bluetick
The accuracy: 0.925
In [ ]:
print(f"validation accuracy: {acc_valid_3:.3f}")
validation accuracy: 0.925
w1=0.8¶
In [ ]:
acc_valid_4 = accuracy(set='valid', w1=0.8, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 168ms/step
This is a Yorkie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Yorkie
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 145ms/step
This is a Yorkie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 142ms/step
This is a Yorkie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 139ms/step
This is a Yorkie
1/1 [==============================] - 0s 171ms/step
1/1 [==============================] - 0s 170ms/step
This is a Yorkie
1/1 [==============================] - 0s 172ms/step
1/1 [==============================] - 0s 219ms/step
This is a Yorkie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 130ms/step
This is a Yorkie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Greyhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Greyhound
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 127ms/step
This is a Greyhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Greyhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 132ms/step
This is a Greyhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Chihuahua
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Greyhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Greyhound
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 142ms/step
This is a Corgi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Corgi
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a Corgi
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 155ms/step
This is a Corgi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 141ms/step
This is a Corgi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 137ms/step
This is a Corgi
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Corgi
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 166ms/step
This is a Corgi
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 164ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 153ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 267ms/step
1/1 [==============================] - 0s 134ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 141ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 139ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 129ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 126ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 144ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 133ms/step
This is a French Bulldog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 246ms/step
1/1 [==============================] - 0s 174ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 135ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 150ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 129ms/step
This is a Blenheim
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Blenheim
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 134ms/step
This is a Blenheim
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 142ms/step
This is a Blenheim
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Blenheim
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 127ms/step
This is a Blenheim
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 128ms/step
This is a Blenheim
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Blenheim
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 169ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 156ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 136ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 180ms/step
1/1 [==============================] - 0s 140ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 214ms/step
1/1 [==============================] - 0s 167ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 207ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 182ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 149ms/step
This is a Rottweiler
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 147ms/step
This is a Rottweiler
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 141ms/step
This is a Rottweiler
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 139ms/step
This is a Rottweiler
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 144ms/step
This is a Rottweiler
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 169ms/step
This is a Rottweiler
1/1 [==============================] - 0s 172ms/step
1/1 [==============================] - 0s 175ms/step
This is a Rottweiler
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 193ms/step
This is a Rottweiler
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 154ms/step
This is a Elk Hound
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 149ms/step
This is a Elk Hound
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 132ms/step
This is a Elk Hound
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 133ms/step
This is a Elk Hound
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Elk Hound
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 156ms/step
This is a Elk Hound
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 145ms/step
This is a Elk Hound
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Elk Hound
1/1 [==============================] - 0s 166ms/step
1/1 [==============================] - 0s 153ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 143ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 139ms/step
This is a Schnauzer
1/1 [==============================] - 0s 218ms/step
1/1 [==============================] - 0s 130ms/step
This is a Schnauzer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Schnauzer
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 166ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 152ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 164ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pomeranian
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pomeranian
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 142ms/step
This is a Pomeranian
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 230ms/step
This is a Pomeranian
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pomeranian
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 136ms/step
This is a Pomeranian
1/1 [==============================] - 0s 144ms/step
1/1 [==============================] - 0s 161ms/step
This is a Pomeranian
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pomeranian
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pekinese
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a Pekinese
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pekinese
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pekinese
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 153ms/step
This is a Pekinese
1/1 [==============================] - 0s 142ms/step
1/1 [==============================] - 0s 173ms/step
This is a Pekinese
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 150ms/step
This is a Pekinese
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 147ms/step
This is a Pekinese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 155ms/step
This is a Pit Bull
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pit Bull
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pit Bull
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 129ms/step
This is a Pit Bull
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pit Bull
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 164ms/step
This is a Pit Bull
1/1 [==============================] - 0s 176ms/step
1/1 [==============================] - 0s 146ms/step
This is a Pit Bull
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pit Bull
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 182ms/step
This is a Basenji
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 128ms/step
This is a Basenji
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 142ms/step
This is a Basenji
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Basenji
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a Basenji
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 153ms/step
This is a Basenji
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 224ms/step
This is a Basenji
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 135ms/step
This is a Basenji
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 150ms/step
This is a French Bulldog
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 145ms/step
This is a French Bulldog
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 205ms/step
This is a French Bulldog
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 138ms/step
This is a French Bulldog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 186ms/step
This is a French Bulldog
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 183ms/step
This is a French Bulldog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 156ms/step
This is a French Bulldog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 201ms/step
This is a French Bulldog
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 154ms/step
This is a Coyote
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 257ms/step
This is a Coyote
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 140ms/step
This is a Coyote
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Coyote
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 151ms/step
This is a Coyote
1/1 [==============================] - 0s 187ms/step
1/1 [==============================] - 0s 223ms/step
This is a Coyote
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Coyote
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Coyote
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 149ms/step
This is a Komondor
1/1 [==============================] - 0s 173ms/step
1/1 [==============================] - 0s 216ms/step
This is a Komondor
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 190ms/step
This is a Komondor
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 145ms/step
This is a Komondor
1/1 [==============================] - 0s 186ms/step
1/1 [==============================] - 0s 195ms/step
This is a Komondor
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Komondor
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a Komondor
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Komondor
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 129ms/step
This is a Great Perenees
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Great Perenees
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 132ms/step
This is a Great Perenees
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 126ms/step
This is a Great Perenees
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Great Perenees
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 127ms/step
This is a Great Perenees
1/1 [==============================] - 0s 141ms/step
1/1 [==============================] - 0s 135ms/step
This is a Great Perenees
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Great Perenees
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 130ms/step
This is a Basset
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basset
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 154ms/step
This is a Basset
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a Basset
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Basset
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 130ms/step
This is a Basset
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Basset
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 132ms/step
This is a Basset
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 146ms/step
This is a Pit Bull
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 152ms/step
This is a Great Dane
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 171ms/step
This is a Great Dane
1/1 [==============================] - 0s 256ms/step
1/1 [==============================] - 0s 211ms/step
This is a Great Dane
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Great Dane
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 143ms/step
This is a Great Dane
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bluetick
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 142ms/step
This is a Great Dane
1/1 [==============================] - 0s 160ms/step
1/1 [==============================] - 0s 214ms/step
This is a Dhole
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Dhole
1/1 [==============================] - 0s 191ms/step
1/1 [==============================] - 0s 154ms/step
This is a Dhole
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 127ms/step
This is a Dhole
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dhole
1/1 [==============================] - 0s 151ms/step
1/1 [==============================] - 0s 131ms/step
This is a Dhole
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 177ms/step
This is a Dhole
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 139ms/step
This is a Dhole
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a Lhasa
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 128ms/step
This is a Lhasa
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 138ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 153ms/step
This is a Lhasa
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 149ms/step
This is a Maltese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 147ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a Labrador
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Labrador
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 126ms/step
This is a Labrador
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 126ms/step
This is a Labrador
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 125ms/step
This is a Great Perenees
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Labrador
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 126ms/step
This is a Maltese
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 157ms/step
This is a Maltese
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 128ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 151ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 149ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 144ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 139ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 127ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 142ms/step
This is a Cocker
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 147ms/step
This is a Cocker
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 168ms/step
This is a Cocker
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cocker
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Cocker
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cocker
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 128ms/step
This is a American Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 149ms/step
This is a Chihuahua
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chihuahua
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chihuahua
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Chihuahua
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Chihuahua
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Chihuahua
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Chihuahua
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Chihuahua
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 155ms/step
1/1 [==============================] - 0s 213ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 191ms/step
1/1 [==============================] - 0s 174ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 148ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 137ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 141ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 147ms/step
This is a Newfoundland
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Newfoundland
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Newfoundland
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 156ms/step
This is a Newfoundland
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 134ms/step
This is a Newfoundland
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 186ms/step
This is a Newfoundland
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 148ms/step
This is a Newfoundland
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Newfoundland
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 138ms/step
This is a Dalmation
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 145ms/step
This is a Dalmation
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 142ms/step
This is a Dalmation
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 141ms/step
This is a Dalmation
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dalmation
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 143ms/step
This is a Dalmation
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 139ms/step
This is a Dalmation
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dalmation
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 344ms/step
This is a Basenji
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pug
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 150ms/step
This is a Pug
1/1 [==============================] - 0s 171ms/step
1/1 [==============================] - 0s 202ms/step
This is a Pug
1/1 [==============================] - 0s 153ms/step
1/1 [==============================] - 0s 196ms/step
This is a Pug
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 142ms/step
This is a Pug
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 178ms/step
This is a Pug
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 131ms/step
This is a Pug
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pug
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Afghan
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 135ms/step
This is a Afghan
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 130ms/step
This is a Afghan
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Afghan
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 140ms/step
This is a Afghan
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 152ms/step
This is a Afghan
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Afghan
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 129ms/step
This is a Afghan
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Cairn
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cairn
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 135ms/step
This is a Cairn
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 153ms/step
This is a Cairn
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 192ms/step
This is a Cairn
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cairn
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 137ms/step
This is a Cairn
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cairn
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Beagle
1/1 [==============================] - 0s 188ms/step
1/1 [==============================] - 0s 244ms/step
This is a Beagle
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 220ms/step
This is a Beagle
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 134ms/step
This is a Beagle
1/1 [==============================] - 0s 151ms/step
1/1 [==============================] - 0s 170ms/step
This is a Beagle
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a Beagle
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 179ms/step
This is a Beagle
1/1 [==============================] - 0s 158ms/step
1/1 [==============================] - 0s 202ms/step
This is a Beagle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 148ms/step
This is a Cockapoo
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Labradoodle
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 132ms/step
This is a Cockapoo
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cockapoo
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cockapoo
1/1 [==============================] - 0s 149ms/step
1/1 [==============================] - 0s 179ms/step
This is a Cockapoo
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cockapoo
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 130ms/step
This is a Vizsla
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 147ms/step
This is a Vizsla
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 145ms/step
This is a Vizsla
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 130ms/step
This is a Vizsla
1/1 [==============================] - 0s 167ms/step
1/1 [==============================] - 0s 197ms/step
This is a Vizsla
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 241ms/step
This is a Vizsla
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 156ms/step
This is a Vizsla
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 140ms/step
This is a Vizsla
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 127ms/step
This is a Collie
1/1 [==============================] - 0s 178ms/step
1/1 [==============================] - 0s 146ms/step
This is a Collie
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 141ms/step
This is a Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Collie
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Collie
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 164ms/step
This is a Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 173ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 161ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 141ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 173ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 240ms/step
1/1 [==============================] - 0s 135ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 168ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 146ms/step
This is a American Spaniel
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 223ms/step
This is a American Spaniel
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a American Spaniel
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 141ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Spaniel
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 132ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 146ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 187ms/step
This is a American Spaniel
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Maltese
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Maltese
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 162ms/step
This is a Maltese
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 133ms/step
This is a Maltese
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 133ms/step
This is a Maltese
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Maltese
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 138ms/step
This is a Maltese
1/1 [==============================] - 0s 160ms/step
1/1 [==============================] - 0s 150ms/step
This is a Maltese
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 185ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 143ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 150ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 229ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 140ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 148ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 152ms/step
This is a Doberman
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a Doberman
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 146ms/step
This is a Doberman
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 166ms/step
This is a Doberman
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Doberman
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Doberman
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 177ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 155ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 192ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 160ms/step
1/1 [==============================] - 0s 228ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 150ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 150ms/step
1/1 [==============================] - 0s 187ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 168ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 172ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 146ms/step
1/1 [==============================] - 0s 203ms/step
This is a German Sheperd
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 140ms/step
This is a German Sheperd
1/1 [==============================] - 0s 155ms/step
1/1 [==============================] - 0s 142ms/step
This is a German Sheperd
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 140ms/step
This is a German Sheperd
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 184ms/step
This is a German Sheperd
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 156ms/step
This is a German Sheperd
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 174ms/step
This is a German Sheperd
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 160ms/step
This is a German Sheperd
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 137ms/step
This is a Komondor
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 171ms/step
This is a Schnauzer
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 138ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 168ms/step
This is a Labradoodle
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 249ms/step
This is a Cockapoo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 145ms/step
This is a Cockapoo
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 154ms/step
This is a Poodle
1/1 [==============================] - 0s 154ms/step
1/1 [==============================] - 0s 213ms/step
This is a Cockapoo
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 131ms/step
This is a Groenendael
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Groenendael
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 134ms/step
This is a Groenendael
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Groenendael
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 170ms/step
This is a Groenendael
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Groenendael
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Groenendael
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a Groenendael
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Border Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Border Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Border Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Border Collie
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Border Collie
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 132ms/step
This is a Border Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Border Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 138ms/step
This is a Border Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 135ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 168ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 150ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bermaise
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 201ms/step
This is a Bermaise
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bermaise
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bermaise
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bermaise
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 128ms/step
This is a Bermaise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bermaise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bermaise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 169ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 202ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 192ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 144ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Rhodesian
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 140ms/step
This is a Rhodesian
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 132ms/step
This is a Rhodesian
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 135ms/step
This is a Rhodesian
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Rhodesian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Rhodesian
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Vizsla
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Rhodesian
1/1 [==============================] - 0s 142ms/step
1/1 [==============================] - 0s 146ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 195ms/step
1/1 [==============================] - 0s 185ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 135ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 138ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 140ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 137ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 135ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Borzoi
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 139ms/step
This is a Borzoi
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Borzoi
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Borzoi
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Borzoi
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Borzoi
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 137ms/step
This is a Borzoi
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 139ms/step
This is a Borzoi
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Chow
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 133ms/step
This is a Chow
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Chow
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 147ms/step
This is a Chow
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 149ms/step
This is a Chow
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 147ms/step
This is a Chow
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 151ms/step
This is a Chow
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 134ms/step
This is a Chow
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Airedale
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Airedale
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Airedale
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Airedale
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Airedale
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a Airedale
1/1 [==============================] - 0s 168ms/step
1/1 [==============================] - 0s 205ms/step
This is a Airedale
1/1 [==============================] - 0s 210ms/step
1/1 [==============================] - 0s 168ms/step
This is a Airedale
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Dingo
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 137ms/step
This is a Dingo
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Dingo
1/1 [==============================] - 0s 221ms/step
1/1 [==============================] - 0s 133ms/step
This is a Dingo
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dingo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Dingo
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dingo
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Dingo
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a American Hairless
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Hairless
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a American Hairless
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a American Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Hairless
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 147ms/step
This is a American Hairless
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Hairless
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a American Hairless
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 127ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 132ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 127ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Poodle
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Poodle
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 131ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Poodle
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Poodle
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 181ms/step
This is a Poodle
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 138ms/step
This is a Poodle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 137ms/step
This is a Malinois
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 128ms/step
This is a German Sheperd
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 127ms/step
This is a Malinois
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 168ms/step
This is a Malinois
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 139ms/step
This is a Malinois
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 159ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 141ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 183ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 211ms/step
1/1 [==============================] - 0s 141ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 127ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 173ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 126ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 128ms/step
This is a Clumber
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 134ms/step
This is a Clumber
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 133ms/step
This is a Clumber
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 133ms/step
This is a Clumber
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a Clumber
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Clumber
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 205ms/step
This is a Clumber
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 127ms/step
This is a Clumber
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Boxer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 128ms/step
This is a Boxer
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Boxer
1/1 [==============================] - 0s 358ms/step
1/1 [==============================] - 0s 281ms/step
This is a Boxer
1/1 [==============================] - 0s 155ms/step
1/1 [==============================] - 0s 272ms/step
This is a Boxer
1/1 [==============================] - 0s 156ms/step
1/1 [==============================] - 0s 164ms/step
This is a Boxer
1/1 [==============================] - 0s 146ms/step
1/1 [==============================] - 0s 173ms/step
This is a Boxer
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 134ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 143ms/step
This is a Boxer
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 145ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 255ms/step
This is a Boxer
1/1 [==============================] - 0s 147ms/step
1/1 [==============================] - 0s 181ms/step
This is a Pit Bull
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bloodhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 126ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Bloodhound
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Bloodhound
1/1 [==============================] - 0s 103ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bloodhound
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 149ms/step
This is a Bloodhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 172ms/step
This is a Bloodhound
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 127ms/step
This is a Bluetick
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bluetick
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bluetick
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bluetick
1/1 [==============================] - 0s 102ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bluetick
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bluetick
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Bluetick
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a Bluetick
The accuracy: 0.9160714285714285
In [ ]:
print(f"validation accuracy: {acc_valid_4:.3f}")
validation accuracy: 0.916
w1=1¶
In [ ]:
acc_valid_5 = accuracy(set='valid', w1=1, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 150ms/step
This is a Yorkie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Yorkie
1/1 [==============================] - 0s 142ms/step
1/1 [==============================] - 0s 203ms/step
This is a Yorkie
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 141ms/step
This is a Yorkie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 131ms/step
This is a Yorkie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Yorkie
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 149ms/step
This is a Yorkie
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 136ms/step
This is a Yorkie
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 129ms/step
This is a Greyhound
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 128ms/step
This is a Greyhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Greyhound
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 127ms/step
This is a Greyhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Greyhound
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chihuahua
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 129ms/step
This is a Greyhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 131ms/step
This is a Greyhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a Basenji
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 133ms/step
This is a Corgi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Corgi
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Corgi
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 230ms/step
This is a Corgi
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 243ms/step
This is a Corgi
1/1 [==============================] - 0s 177ms/step
1/1 [==============================] - 0s 156ms/step
This is a Corgi
1/1 [==============================] - 0s 144ms/step
1/1 [==============================] - 0s 176ms/step
This is a Corgi
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 154ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 138ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 136ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 139ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 145ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 150ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 135ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 134ms/step
This is a Blenheim
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Blenheim
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Blenheim
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 135ms/step
This is a Blenheim
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Blenheim
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Blenheim
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 229ms/step
This is a Blenheim
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Blenheim
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 142ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 134ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 148ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 374ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 160ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 137ms/step
This is a Rottweiler
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 139ms/step
This is a Rottweiler
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 137ms/step
This is a Rottweiler
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Rottweiler
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 136ms/step
This is a Rottweiler
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Rottweiler
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 139ms/step
This is a Rottweiler
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Rottweiler
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 135ms/step
This is a Elk Hound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Elk Hound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Elk Hound
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 140ms/step
This is a Elk Hound
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 132ms/step
This is a Elk Hound
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Elk Hound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Elk Hound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a Elk Hound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 140ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Schnauzer
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Schnauzer
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 136ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Schnauzer
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 135ms/step
This is a Schnauzer
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 137ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pomeranian
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 154ms/step
This is a Pomeranian
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 169ms/step
This is a Pomeranian
1/1 [==============================] - 0s 190ms/step
1/1 [==============================] - 0s 154ms/step
This is a Pomeranian
1/1 [==============================] - 0s 184ms/step
1/1 [==============================] - 0s 150ms/step
This is a Pomeranian
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Pomeranian
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pomeranian
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pomeranian
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Pekinese
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pekinese
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Pekinese
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 141ms/step
This is a Pekinese
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 132ms/step
This is a Maltese
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 137ms/step
This is a Pekinese
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pekinese
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pekinese
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pit Bull
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pit Bull
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 138ms/step
This is a Pit Bull
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 136ms/step
This is a Pit Bull
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pit Bull
1/1 [==============================] - 0s 106ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pit Bull
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pit Bull
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pit Bull
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 141ms/step
This is a Basenji
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Basenji
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basenji
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Basenji
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Basenji
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basenji
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Basenji
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basenji
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 147ms/step
This is a French Bulldog
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a French Bulldog
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 179ms/step
This is a French Bulldog
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 141ms/step
This is a French Bulldog
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 143ms/step
This is a French Bulldog
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 177ms/step
This is a French Bulldog
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 143ms/step
This is a French Bulldog
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 142ms/step
This is a French Bulldog
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 222ms/step
This is a Coyote
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 151ms/step
This is a Coyote
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 153ms/step
This is a Coyote
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Coyote
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 142ms/step
This is a Coyote
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Coyote
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Coyote
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 140ms/step
This is a Coyote
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 151ms/step
This is a Komondor
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 141ms/step
This is a Komondor
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 154ms/step
This is a Komondor
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Komondor
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Komondor
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Komondor
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 140ms/step
This is a Komondor
1/1 [==============================] - 0s 145ms/step
1/1 [==============================] - 0s 145ms/step
This is a Komondor
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 160ms/step
This is a Great Perenees
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 146ms/step
This is a Great Perenees
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 145ms/step
This is a Great Perenees
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 139ms/step
This is a Great Perenees
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 280ms/step
This is a Great Perenees
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 165ms/step
This is a Great Perenees
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Great Perenees
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 143ms/step
This is a Great Perenees
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 141ms/step
This is a Basset
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 149ms/step
This is a Basset
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 142ms/step
This is a Basset
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 142ms/step
This is a Basset
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 138ms/step
This is a Basset
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 139ms/step
This is a Basset
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 149ms/step
This is a Basset
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 144ms/step
This is a Basset
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 149ms/step
This is a Pit Bull
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 146ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 139ms/step
This is a Great Dane
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 159ms/step
This is a Vizsla
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 141ms/step
This is a Pit Bull
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 145ms/step
This is a Boxer
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bluetick
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 138ms/step
This is a Great Dane
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 146ms/step
This is a Dhole
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 225ms/step
This is a Dhole
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 143ms/step
This is a Dhole
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 145ms/step
This is a Dhole
1/1 [==============================] - 0s 260ms/step
1/1 [==============================] - 0s 167ms/step
This is a Dhole
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a Dhole
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 149ms/step
This is a Dhole
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 140ms/step
This is a Dhole
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 137ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 139ms/step
This is a Lhasa
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 238ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 147ms/step
This is a Maltese
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 138ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 142ms/step
This is a Maltese
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 143ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 148ms/step
This is a Labrador
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 138ms/step
This is a Labrador
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 139ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 141ms/step
This is a Labrador
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 142ms/step
This is a Rottweiler
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 136ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Great Perenees
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Labrador
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 142ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 206ms/step
1/1 [==============================] - 0s 157ms/step
This is a Maltese
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 137ms/step
This is a Maltese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 278ms/step
1/1 [==============================] - 0s 257ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 138ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 130ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Cocker
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Cocker
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 200ms/step
This is a Cocker
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 182ms/step
This is a Cocker
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 127ms/step
This is a Cocker
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cocker
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 128ms/step
This is a American Spaniel
1/1 [==============================] - 0s 264ms/step
1/1 [==============================] - 0s 179ms/step
This is a Chihuahua
1/1 [==============================] - 0s 224ms/step
1/1 [==============================] - 0s 192ms/step
This is a Chihuahua
1/1 [==============================] - 0s 254ms/step
1/1 [==============================] - 0s 273ms/step
This is a Chihuahua
1/1 [==============================] - 0s 253ms/step
1/1 [==============================] - 0s 146ms/step
This is a Chihuahua
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Chihuahua
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 173ms/step
This is a Chihuahua
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 153ms/step
This is a Chihuahua
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 234ms/step
This is a Basenji
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 132ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 142ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 152ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Newfoundland
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 138ms/step
This is a Newfoundland
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a Newfoundland
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Newfoundland
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Newfoundland
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 136ms/step
This is a Newfoundland
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Newfoundland
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 130ms/step
This is a Newfoundland
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dalmation
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dalmation
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dalmation
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Dalmation
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 130ms/step
This is a Dalmation
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dalmation
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a Dalmation
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Dalmation
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Basenji
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 138ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 166ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 190ms/step
1/1 [==============================] - 0s 215ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 191ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 153ms/step
This is a Pug
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pug
1/1 [==============================] - 0s 174ms/step
1/1 [==============================] - 0s 146ms/step
This is a Pug
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 161ms/step
This is a Pug
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 153ms/step
This is a Pug
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 167ms/step
This is a Pug
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 149ms/step
This is a Pug
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Pug
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 144ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 151ms/step
This is a Afghan
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Afghan
1/1 [==============================] - 0s 216ms/step
1/1 [==============================] - 0s 183ms/step
This is a Afghan
1/1 [==============================] - 0s 198ms/step
1/1 [==============================] - 0s 221ms/step
This is a Afghan
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 155ms/step
This is a Afghan
1/1 [==============================] - 0s 145ms/step
1/1 [==============================] - 0s 173ms/step
This is a Afghan
1/1 [==============================] - 0s 147ms/step
1/1 [==============================] - 0s 172ms/step
This is a Afghan
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 171ms/step
This is a Cairn
1/1 [==============================] - 0s 142ms/step
1/1 [==============================] - 0s 178ms/step
This is a Cairn
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 156ms/step
This is a Cairn
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 148ms/step
This is a Cairn
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 145ms/step
This is a Cairn
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Cairn
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 139ms/step
This is a Cairn
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 140ms/step
This is a Cairn
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 141ms/step
This is a Basset
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 150ms/step
This is a Beagle
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 148ms/step
This is a Beagle
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 144ms/step
This is a Beagle
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 150ms/step
This is a Beagle
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 150ms/step
This is a Beagle
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Beagle
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Beagle
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Cockapoo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Labradoodle
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Cockapoo
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Cockapoo
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Cockapoo
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 138ms/step
This is a Cockapoo
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Cockapoo
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Vizsla
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 137ms/step
This is a Vizsla
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Vizsla
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Vizsla
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Vizsla
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Vizsla
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 143ms/step
This is a Vizsla
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 142ms/step
This is a Vizsla
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 148ms/step
This is a Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Collie
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 141ms/step
This is a Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 140ms/step
This is a Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 136ms/step
This is a Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Collie
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Collie
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 149ms/step
1/1 [==============================] - 0s 176ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 145ms/step
1/1 [==============================] - 0s 168ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 134ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 219ms/step
1/1 [==============================] - 0s 348ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 136ms/step
This is a American Spaniel
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 144ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 140ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 161ms/step
This is a American Spaniel
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 1s 571ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 138ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 138ms/step
This is a American Spaniel
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 139ms/step
This is a Maltese
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 141ms/step
This is a Maltese
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Maltese
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Maltese
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 147ms/step
This is a Maltese
1/1 [==============================] - 0s 165ms/step
1/1 [==============================] - 0s 265ms/step
This is a Maltese
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 144ms/step
This is a Maltese
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 140ms/step
This is a Maltese
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 137ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 221ms/step
1/1 [==============================] - 0s 185ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 204ms/step
1/1 [==============================] - 0s 249ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 160ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 143ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 141ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Doberman
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Doberman
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 142ms/step
This is a Rottweiler
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 134ms/step
This is a Doberman
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Doberman
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Doberman
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 139ms/step
This is a Doberman
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Doberman
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 139ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 138ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 166ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a German Sheperd
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 147ms/step
This is a German Sheperd
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 299ms/step
This is a German Sheperd
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Groenendael
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 138ms/step
This is a German Sheperd
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 142ms/step
This is a German Sheperd
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 140ms/step
This is a German Sheperd
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 140ms/step
This is a German Sheperd
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Komondor
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Schnauzer
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Labradoodle
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Cockapoo
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 140ms/step
This is a Cockapoo
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Poodle
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 138ms/step
This is a Labradoodle
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Groenendael
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Groenendael
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Groenendael
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 141ms/step
This is a Groenendael
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Groenendael
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 135ms/step
This is a Groenendael
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Groenendael
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Groenendael
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Border Collie
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Border Collie
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Border Collie
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 138ms/step
This is a Border Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Border Collie
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 137ms/step
This is a Border Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 142ms/step
This is a Border Collie
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 136ms/step
This is a Border Collie
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 148ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 139ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 141ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 141ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 164ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 145ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 143ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 144ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 144ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 142ms/step
This is a Komondor
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 145ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 143ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 143ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 144ms/step
This is a Bermaise
1/1 [==============================] - 0s 187ms/step
1/1 [==============================] - 0s 168ms/step
This is a Bermaise
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bermaise
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 146ms/step
This is a Bermaise
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bermaise
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bermaise
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 144ms/step
This is a Bermaise
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 149ms/step
This is a Bermaise
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 144ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 141ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 137ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 140ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 142ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 143ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 140ms/step
This is a Rhodesian
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 143ms/step
This is a Bloodhound
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 141ms/step
This is a Rhodesian
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 141ms/step
This is a Rhodesian
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 140ms/step
This is a Rhodesian
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 151ms/step
This is a Rhodesian
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 143ms/step
This is a Vizsla
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Vizsla
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 139ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 142ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 146ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 141ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 142ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 141ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 147ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 140ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 144ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 140ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 141ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 147ms/step
This is a Borzoi
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 141ms/step
This is a Borzoi
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 143ms/step
This is a Borzoi
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 143ms/step
This is a Borzoi
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 145ms/step
This is a Borzoi
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 141ms/step
This is a Borzoi
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 149ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 141ms/step
This is a Borzoi
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 139ms/step
This is a Chow
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 147ms/step
This is a Chow
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 141ms/step
This is a Chow
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 141ms/step
This is a Chow
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 142ms/step
This is a Chow
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 140ms/step
This is a Chow
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 160ms/step
This is a Chow
1/1 [==============================] - 0s 149ms/step
1/1 [==============================] - 0s 154ms/step
This is a Chow
1/1 [==============================] - 0s 141ms/step
1/1 [==============================] - 0s 175ms/step
This is a Airedale
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 141ms/step
This is a Airedale
1/1 [==============================] - 0s 217ms/step
1/1 [==============================] - 0s 237ms/step
This is a Airedale
1/1 [==============================] - 0s 188ms/step
1/1 [==============================] - 0s 236ms/step
This is a Airedale
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 144ms/step
This is a Yorkie
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 141ms/step
This is a Airedale
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 148ms/step
This is a Airedale
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 142ms/step
This is a Airedale
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Dingo
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 144ms/step
This is a Dingo
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 155ms/step
This is a Dingo
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 139ms/step
This is a Dingo
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 142ms/step
This is a Dingo
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 141ms/step
This is a Dingo
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 141ms/step
This is a Dhole
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 144ms/step
This is a Dingo
1/1 [==============================] - 0s 234ms/step
1/1 [==============================] - 0s 282ms/step
This is a American Hairless
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 144ms/step
This is a American Hairless
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 142ms/step
This is a American Hairless
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 302ms/step
This is a American Hairless
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a American Hairless
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a American Hairless
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a American Hairless
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 141ms/step
This is a American Hairless
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 139ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 141ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 136ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 159ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 145ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 142ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 140ms/step
This is a Poodle
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Poodle
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 138ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Poodle
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 141ms/step
This is a Poodle
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Malinois
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 143ms/step
This is a German Sheperd
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 140ms/step
This is a Malinois
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 137ms/step
This is a Malinois
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 147ms/step
This is a Malinois
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 146ms/step
This is a Malinois
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Malinois
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Malinois
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 146ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 138ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 141ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 141ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 138ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 142ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 140ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 143ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 139ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 136ms/step
This is a Clumber
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Clumber
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Clumber
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Clumber
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 141ms/step
This is a Clumber
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 139ms/step
This is a Clumber
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 139ms/step
This is a Clumber
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Clumber
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Boxer
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 146ms/step
This is a Boxer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Boxer
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 181ms/step
This is a Boxer
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 137ms/step
This is a Boxer
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 139ms/step
This is a Boxer
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 134ms/step
This is a Boxer
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Boxer
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Boxer
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boxer
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 133ms/step
This is a Boxer
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pit Bull
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 137ms/step
This is a Bloodhound
1/1 [==============================] - 0s 167ms/step
1/1 [==============================] - 0s 186ms/step
This is a Bloodhound
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bloodhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bloodhound
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bluetick
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bluetick
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bluetick
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bluetick
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bluetick
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bluetick
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bluetick
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bluetick
The accuracy: 0.8767857142857143
In [ ]:
print(f"validation accuracy: {acc_valid_5:.3f}")
validation accuracy: 0.877

From above evaulation, 0.3 will be the weight and the test accuracy is 0.939.

In [ ]:
acc_test_hybrid = accuracy(set='test', w1=0.3, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 144ms/step
1/1 [==============================] - 0s 163ms/step
This is a Yorkie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 140ms/step
This is a Yorkie
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 160ms/step
This is a Yorkie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 211ms/step
This is a Yorkie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Yorkie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 142ms/step
This is a Yorkie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Yorkie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Yorkie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Greyhound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Greyhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 140ms/step
This is a Greyhound
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Greyhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 137ms/step
This is a Greyhound
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Greyhound
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Greyhound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Greyhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Corgi
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a Corgi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 138ms/step
This is a Corgi
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 136ms/step
This is a Corgi
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 137ms/step
This is a Corgi
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 143ms/step
This is a Corgi
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Corgi
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Corgi
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 143ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 143ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 139ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 140ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 179ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 150ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 140ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 149ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 137ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 144ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 194ms/step
1/1 [==============================] - 0s 284ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 142ms/step
This is a Blenheim
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 153ms/step
This is a Blenheim
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Blenheim
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Blenheim
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Blenheim
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Blenheim
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 158ms/step
This is a Blenheim
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Blenheim
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 142ms/step
1/1 [==============================] - 0s 165ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 136ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 135ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Rottweiler
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Rottweiler
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 138ms/step
This is a Rottweiler
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 132ms/step
This is a Rottweiler
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Rottweiler
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Rottweiler
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Rottweiler
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Rottweiler
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 186ms/step
This is a Elk Hound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Elk Hound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Elk Hound
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Elk Hound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 135ms/step
This is a Elk Hound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 137ms/step
This is a Elk Hound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Elk Hound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Elk Hound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 139ms/step
This is a Schnauzer
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Schnauzer
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Scotch Terrier
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Schnauzer
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Schnauzer
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Schnauzer
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 149ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pomeranian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 137ms/step
This is a Pomeranian
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Pomeranian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 142ms/step
This is a Pomeranian
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pomeranian
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pomeranian
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pomeranian
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 149ms/step
This is a Pomeranian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pekinese
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pekinese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pekinese
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pekinese
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 142ms/step
This is a Pekinese
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pekinese
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 144ms/step
This is a Pekinese
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 134ms/step
This is a Pekinese
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Pit Bull
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pit Bull
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pit Bull
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Pit Bull
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Pit Bull
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 132ms/step
This is a Pit Bull
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 157ms/step
This is a Pit Bull
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 147ms/step
This is a Pit Bull
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 141ms/step
This is a Basenji
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 142ms/step
This is a Basenji
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 144ms/step
This is a Basenji
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basenji
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Basenji
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 152ms/step
This is a Basenji
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Basenji
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Basenji
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a French Bulldog
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a French Bulldog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a French Bulldog
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a French Bulldog
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 134ms/step
This is a French Bulldog
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a French Bulldog
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a French Bulldog
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a French Bulldog
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Coyote
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Coyote
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 134ms/step
This is a Coyote
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Coyote
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Coyote
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Coyote
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 152ms/step
This is a Coyote
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 135ms/step
This is a Coyote
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Komondor
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Komondor
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Komondor
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Komondor
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 141ms/step
This is a Komondor
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 135ms/step
This is a Komondor
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 138ms/step
This is a Komondor
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 157ms/step
This is a Komondor
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 235ms/step
This is a Great Perenees
1/1 [==============================] - 0s 221ms/step
1/1 [==============================] - 0s 190ms/step
This is a Great Perenees
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 155ms/step
This is a Great Perenees
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 172ms/step
This is a Great Perenees
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 156ms/step
This is a Great Perenees
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 147ms/step
This is a Great Perenees
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 178ms/step
This is a Great Perenees
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 146ms/step
This is a Great Perenees
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Basset
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Basset
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 145ms/step
This is a Basset
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basset
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 137ms/step
This is a Basset
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basset
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basset
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Basset
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Great Dane
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 139ms/step
This is a Great Dane
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Great Dane
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 182ms/step
This is a Great Dane
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Great Dane
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Great Dane
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 150ms/step
This is a Great Dane
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 139ms/step
This is a Great Dane
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Dhole
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Dhole
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Dhole
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Dhole
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 141ms/step
This is a Dhole
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 138ms/step
This is a Dhole
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 161ms/step
This is a Dhole
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 133ms/step
This is a Dhole
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Lhasa
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Lhasa
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 133ms/step
This is a Lhasa
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 234ms/step
This is a Lhasa
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Lhasa
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 132ms/step
This is a Lhasa
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Lhasa
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 131ms/step
This is a Lhasa
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Rottweiler
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Labrador
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Labrador
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Labrador
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Labrador
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Labrador
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 132ms/step
This is a Rhodesian
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 132ms/step
This is a Labrador
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 134ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 137ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Chinese Crested
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Cocker
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cocker
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 140ms/step
This is a Cocker
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Cocker
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 136ms/step
This is a Cocker
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 146ms/step
This is a Cocker
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cocker
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Chihuahua
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 135ms/step
This is a Chihuahua
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 141ms/step
This is a Chihuahua
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Chihuahua
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 141ms/step
This is a Chihuahua
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 139ms/step
This is a Chihuahua
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Chihuahua
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 136ms/step
This is a Pomeranian
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Dingo
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 138ms/step
This is a Dingo
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 145ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 145ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 137ms/step
This is a Shiba Inu
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Newfoundland
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 139ms/step
This is a Newfoundland
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a Newfoundland
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Newfoundland
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Newfoundland
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 134ms/step
This is a Newfoundland
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Newfoundland
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 137ms/step
This is a Newfoundland
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Dalmation
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Dalmation
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Dalmation
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 144ms/step
This is a Dalmation
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 179ms/step
This is a Dalmation
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a Dalmation
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Dalmation
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 147ms/step
This is a Dalmation
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 138ms/step
This is a Basenji
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 137ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a Basenji
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bull Terrier
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 135ms/step
This is a Basenji
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 133ms/step
This is a Pug
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 141ms/step
This is a Pug
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 168ms/step
This is a Pug
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 207ms/step
This is a Pug
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 158ms/step
This is a Pug
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 143ms/step
This is a Pug
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 162ms/step
This is a Pug
1/1 [==============================] - 0s 139ms/step
1/1 [==============================] - 0s 167ms/step
This is a Pug
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 143ms/step
This is a Afghan
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 145ms/step
This is a Afghan
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Afghan
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 163ms/step
This is a Afghan
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 140ms/step
This is a Afghan
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 165ms/step
This is a Afghan
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 141ms/step
This is a Afghan
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 145ms/step
This is a Afghan
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 134ms/step
This is a Cairn
1/1 [==============================] - 0s 149ms/step
1/1 [==============================] - 0s 162ms/step
This is a Cairn
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 141ms/step
This is a Cairn
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 136ms/step
This is a Cairn
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cairn
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 143ms/step
This is a Cairn
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cairn
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cairn
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 207ms/step
This is a Beagle
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 137ms/step
This is a Beagle
1/1 [==============================] - 0s 168ms/step
1/1 [==============================] - 0s 155ms/step
This is a Beagle
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 139ms/step
This is a Beagle
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 148ms/step
This is a Beagle
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 160ms/step
This is a Beagle
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Beagle
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 145ms/step
This is a Beagle
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 178ms/step
This is a Cockapoo
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 367ms/step
This is a Cockapoo
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 131ms/step
This is a Cockapoo
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 131ms/step
This is a Cockapoo
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
No such class! Your image may not be a dog
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 129ms/step
This is a Cockapoo
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 134ms/step
This is a Cockapoo
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 141ms/step
This is a Cockapoo
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 147ms/step
This is a Vizsla
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 146ms/step
This is a Vizsla
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 147ms/step
This is a Vizsla
1/1 [==============================] - 0s 163ms/step
1/1 [==============================] - 0s 270ms/step
This is a Vizsla
1/1 [==============================] - 0s 192ms/step
1/1 [==============================] - 0s 163ms/step
This is a Vizsla
1/1 [==============================] - 0s 206ms/step
1/1 [==============================] - 0s 187ms/step
This is a Vizsla
1/1 [==============================] - 0s 227ms/step
1/1 [==============================] - 0s 309ms/step
This is a Vizsla
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 151ms/step
This is a Vizsla
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 250ms/step
This is a Collie
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 156ms/step
This is a Collie
1/1 [==============================] - 0s 186ms/step
1/1 [==============================] - 0s 224ms/step
This is a Collie
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 251ms/step
This is a Collie
1/1 [==============================] - 0s 157ms/step
1/1 [==============================] - 0s 220ms/step
This is a Collie
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 169ms/step
This is a Collie
1/1 [==============================] - 0s 145ms/step
1/1 [==============================] - 0s 164ms/step
This is a Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 176ms/step
This is a Collie
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 131ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 143ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Wolfhound
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 134ms/step
This is a American Spaniel
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Spaniel
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 129ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 105ms/step
1/1 [==============================] - 0s 130ms/step
This is a American Spaniel
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a American Spaniel
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 128ms/step
This is a Maltese
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 128ms/step
This is a Maltese
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 131ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 131ms/step
This is a Maltese
1/1 [==============================] - 0s 107ms/step
1/1 [==============================] - 0s 134ms/step
This is a Maltese
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 130ms/step
This is a Maltese
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 129ms/step
This is a Maltese
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 134ms/step
This is a Maltese
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 129ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 129ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 238ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 132ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 131ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 104ms/step
1/1 [==============================] - 0s 138ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 140ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 140ms/step
1/1 [==============================] - 0s 195ms/step
This is a African Wild Dog
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 161ms/step
This is a Doberman
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 141ms/step
This is a Doberman
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 156ms/step
This is a Doberman
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 146ms/step
This is a Doberman
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 129ms/step
This is a Doberman
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 168ms/step
This is a Doberman
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 141ms/step
This is a Doberman
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 153ms/step
This is a Doberman
1/1 [==============================] - 0s 214ms/step
1/1 [==============================] - 0s 143ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 159ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 137ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 174ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 147ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 144ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 144ms/step
This is a Lhasa
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shih-Tzu
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 136ms/step
This is a German Sheperd
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 179ms/step
This is a German Sheperd
1/1 [==============================] - 0s 197ms/step
1/1 [==============================] - 0s 153ms/step
This is a German Sheperd
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 162ms/step
This is a German Sheperd
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 171ms/step
This is a German Sheperd
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 214ms/step
This is a German Sheperd
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 141ms/step
This is a German Sheperd
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a German Sheperd
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 135ms/step
This is a Labradoodle
1/1 [==============================] - 0s 130ms/step
1/1 [==============================] - 0s 141ms/step
This is a Labradoodle
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 156ms/step
This is a Labradoodle
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cockapoo
1/1 [==============================] - 0s 150ms/step
1/1 [==============================] - 0s 147ms/step
This is a Labradoodle
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 145ms/step
This is a Labradoodle
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Labradoodle
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 133ms/step
This is a Cockapoo
1/1 [==============================] - 0s 197ms/step
1/1 [==============================] - 0s 151ms/step
This is a Groenendael
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 132ms/step
This is a Groenendael
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Groenendael
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 154ms/step
This is a Groenendael
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 261ms/step
This is a Groenendael
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 138ms/step
This is a Groenendael
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 148ms/step
This is a Groenendael
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 149ms/step
This is a Groenendael
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 166ms/step
This is a Border Collie
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 151ms/step
This is a Border Collie
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 148ms/step
This is a Border Collie
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 138ms/step
This is a Border Collie
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 134ms/step
This is a Border Collie
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 157ms/step
This is a Border Collie
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 140ms/step
This is a Border Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Border Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 136ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 140ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 185ms/step
1/1 [==============================] - 0s 139ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 148ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 170ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 147ms/step
1/1 [==============================] - 0s 134ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 133ms/step
This is a Shar_Pei
1/1 [==============================] - 0s 109ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 146ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 148ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 185ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 132ms/step
This is a Bearded Collie
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 139ms/step
This is a Bermaise
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 143ms/step
This is a Bermaise
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bermaise
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bermaise
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bermaise
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 149ms/step
This is a Bermaise
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bermaise
1/1 [==============================] - 0s 152ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bermaise
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 175ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 142ms/step
1/1 [==============================] - 0s 167ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 177ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 146ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 134ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 152ms/step
This is a Saint Bernard
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Rhodesian
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 138ms/step
This is a Rhodesian
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 138ms/step
This is a Rhodesian
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 147ms/step
This is a Rhodesian
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 134ms/step
This is a Rhodesian
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 132ms/step
This is a Rhodesian
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Vizsla
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 135ms/step
This is a Rhodesian
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 134ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 136ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 133ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 144ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 135ms/step
This is a Siberian Husky
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 143ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 220ms/step
1/1 [==============================] - 0s 136ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 153ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 151ms/step
This is a Blenheim
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 168ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 150ms/step
This is a Japanese Spaniel
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 136ms/step
This is a Borzoi
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 212ms/step
This is a Borzoi
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 147ms/step
This is a Borzoi
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 146ms/step
This is a Borzoi
1/1 [==============================] - 0s 224ms/step
1/1 [==============================] - 0s 168ms/step
This is a Borzoi
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 136ms/step
This is a Borzoi
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Borzoi
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 151ms/step
This is a Borzoi
1/1 [==============================] - 0s 134ms/step
1/1 [==============================] - 0s 164ms/step
This is a Chow
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 184ms/step
This is a Chow
1/1 [==============================] - 0s 125ms/step
1/1 [==============================] - 0s 175ms/step
This is a Chow
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 147ms/step
This is a Chow
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 153ms/step
This is a Chow
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Chow
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 142ms/step
This is a Chow
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Chow
1/1 [==============================] - 0s 110ms/step
1/1 [==============================] - 0s 138ms/step
This is a Airedale
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 155ms/step
This is a Airedale
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 138ms/step
This is a Airedale
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 194ms/step
This is a Airedale
1/1 [==============================] - 0s 121ms/step
1/1 [==============================] - 0s 133ms/step
This is a Airedale
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 146ms/step
This is a Airedale
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 144ms/step
This is a Airedale
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 137ms/step
This is a Airedale
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 135ms/step
This is a Dingo
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 133ms/step
This is a Dingo
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 147ms/step
This is a Dingo
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 148ms/step
This is a Dingo
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 143ms/step
This is a Dingo
1/1 [==============================] - 0s 157ms/step
1/1 [==============================] - 0s 159ms/step
This is a Dingo
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 314ms/step
This is a Dingo
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Dingo
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 141ms/step
This is a American Hairless
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 136ms/step
This is a American Hairless
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 139ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 142ms/step
This is a American Hairless
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 131ms/step
This is a American Hairless
1/1 [==============================] - 0s 153ms/step
1/1 [==============================] - 0s 142ms/step
This is a American Hairless
1/1 [==============================] - 0s 162ms/step
1/1 [==============================] - 0s 150ms/step
This is a American Hairless
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 136ms/step
This is a Mex Hairless
1/1 [==============================] - 0s 128ms/step
1/1 [==============================] - 0s 175ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 120ms/step
1/1 [==============================] - 0s 136ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 133ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 132ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 122ms/step
1/1 [==============================] - 0s 134ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 149ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Irish Spaniel
1/1 [==============================] - 0s 135ms/step
1/1 [==============================] - 0s 164ms/step
This is a Poodle
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 138ms/step
This is a Poodle
1/1 [==============================] - 0s 144ms/step
1/1 [==============================] - 0s 137ms/step
This is a Poodle
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 133ms/step
This is a Poodle
1/1 [==============================] - 0s 124ms/step
1/1 [==============================] - 0s 146ms/step
This is a Poodle
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 134ms/step
This is a Poodle
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 149ms/step
This is a Poodle
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 170ms/step
This is a Poodle
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 150ms/step
This is a Malinois
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 161ms/step
This is a Malinois
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 135ms/step
This is a Malinois
1/1 [==============================] - 0s 133ms/step
1/1 [==============================] - 0s 140ms/step
This is a Malinois
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 139ms/step
This is a Malinois
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 161ms/step
This is a Malinois
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 131ms/step
This is a Malinois
1/1 [==============================] - 0s 108ms/step
1/1 [==============================] - 0s 131ms/step
This is a Malinois
1/1 [==============================] - 0s 168ms/step
1/1 [==============================] - 0s 249ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 143ms/step
1/1 [==============================] - 0s 232ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 179ms/step
1/1 [==============================] - 0s 214ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 167ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 132ms/step
1/1 [==============================] - 0s 163ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 166ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 142ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 145ms/step
This is a Bichon Frise
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 137ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 153ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 137ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 145ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 201ms/step
This is a Golden Retriever
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 240ms/step
This is a Clumber
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 142ms/step
This is a Clumber
1/1 [==============================] - 0s 117ms/step
1/1 [==============================] - 0s 136ms/step
This is a Clumber
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 136ms/step
This is a Clumber
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 135ms/step
This is a Clumber
1/1 [==============================] - 0s 137ms/step
1/1 [==============================] - 0s 152ms/step
This is a Clumber
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 135ms/step
This is a Clumber
1/1 [==============================] - 0s 194ms/step
1/1 [==============================] - 0s 146ms/step
This is a Clumber
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 145ms/step
This is a Boxer
1/1 [==============================] - 0s 115ms/step
1/1 [==============================] - 0s 138ms/step
This is a Boxer
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Boxer
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 237ms/step
This is a Boxer
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 146ms/step
This is a Boxer
1/1 [==============================] - 0s 126ms/step
1/1 [==============================] - 0s 147ms/step
This is a Boxer
1/1 [==============================] - 0s 150ms/step
1/1 [==============================] - 0s 260ms/step
This is a Boxer
1/1 [==============================] - 0s 142ms/step
1/1 [==============================] - 0s 154ms/step
This is a Boxer
1/1 [==============================] - 0s 136ms/step
1/1 [==============================] - 0s 154ms/step
This is a French Bulldog
1/1 [==============================] - 0s 111ms/step
1/1 [==============================] - 0s 157ms/step
This is a Boxer
1/1 [==============================] - 0s 138ms/step
1/1 [==============================] - 0s 159ms/step
This is a Bull Mastiff
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 138ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 135ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 146ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 123ms/step
1/1 [==============================] - 0s 151ms/step
This is a Boston Terrier
1/1 [==============================] - 0s 185ms/step
1/1 [==============================] - 0s 150ms/step
This is a Bloodhound
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 143ms/step
This is a Bloodhound
1/1 [==============================] - 0s 114ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bloodhound
1/1 [==============================] - 0s 112ms/step
1/1 [==============================] - 0s 144ms/step
This is a Bloodhound
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 137ms/step
This is a Bloodhound
1/1 [==============================] - 0s 118ms/step
1/1 [==============================] - 0s 133ms/step
This is a Bloodhound
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 134ms/step
This is a Bloodhound
1/1 [==============================] - 0s 169ms/step
1/1 [==============================] - 0s 160ms/step
This is a Bloodhound
1/1 [==============================] - 0s 119ms/step
1/1 [==============================] - 0s 140ms/step
This is a Bluetick
1/1 [==============================] - 0s 113ms/step
1/1 [==============================] - 0s 138ms/step
This is a Bluetick
1/1 [==============================] - 0s 131ms/step
1/1 [==============================] - 0s 141ms/step
This is a Bluetick
1/1 [==============================] - 0s 116ms/step
1/1 [==============================] - 0s 136ms/step
This is a Bluetick
1/1 [==============================] - 0s 195ms/step
1/1 [==============================] - 0s 196ms/step
This is a Bluetick
1/1 [==============================] - 0s 148ms/step
1/1 [==============================] - 0s 240ms/step
This is a Bluetick
1/1 [==============================] - 0s 127ms/step
1/1 [==============================] - 0s 169ms/step
This is a Bluetick
1/1 [==============================] - 0s 129ms/step
1/1 [==============================] - 0s 251ms/step
This is a Bluetick
The accuracy: 0.9392857142857143
In [ ]:
print(f"Test accuracy: {acc_test_hybrid:.3f}")
Test accuracy: 0.939

6. Compare with 2 CNN Transfer Learning Models¶

Two CNN models will be built by transfer learning. The first use ResNet50 and the second one use Xception. After building the models, their test accuracy will be calcualted for comparison. This section is done seperately on Colab and the code in this section basically follows the code in the AASD 4015 Project 1 for simplicity.

In [1]:
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.utils import image_dataset_from_directory
import matplotlib.pyplot as plt
In [2]:
from google.colab import drive
drive.mount('/content/gdrive')
Mounted at /content/gdrive
In [3]:
%cd /content/gdrive/MyDrive/AASD-4015-P2/
/content/gdrive/MyDrive/AASD-4015-P2
In [5]:
train_dataset = image_dataset_from_directory(
    '/content/gdrive/MyDrive/AASD-4015-P2/breed/train',
    image_size=(224, 224),
    batch_size=32)
validation_dataset = image_dataset_from_directory(
    '/content/gdrive/MyDrive/AASD-4015-P2/breed/valid',
    image_size=(224, 224),
    batch_size=32)
test_dataset = image_dataset_from_directory(
    '/content/gdrive/MyDrive/AASD-4015-P2/breed/test',
    image_size=(224, 224),
    batch_size=32)
Found 4480 files belonging to 70 classes.
Found 560 files belonging to 70 classes.
Found 560 files belonging to 70 classes.
In [6]:
class_names = train_dataset.class_names
In [7]:
def plot_graph(history_model):
  accuracy = history_model.history["accuracy"]
  val_accuracy = history_model.history["val_accuracy"]
  loss = history_model.history["loss"]
  val_loss = history_model.history["val_loss"]
  epochs = range(1, len(accuracy) + 1)
  plt.plot(epochs, accuracy, "bo", label="Training accuracy")
  plt.plot(epochs, val_accuracy, "b", label="Validation accuracy")
  plt.title("Training and validation accuracy")
  plt.legend()
  plt.figure()
  plt.plot(epochs, loss, "bo", label="Training loss")
  plt.plot(epochs, val_loss, "b", label="Validation loss")
  plt.title("Training and validation loss")
  plt.legend()
  plt.show()

Baseline Model 1: Transfer learning of ResNet50¶

In [9]:
conv_base_resnet = keras.applications.resnet.ResNet50(
    weights='imagenet',
    include_top=False,
    input_shape=(224, 224, 3))
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5
94765736/94765736 [==============================] - 0s 0us/step
In [10]:
conv_base_resnet.trainable = False
inputs = keras.Input(shape=(224, 224, 3))
x = keras.applications.resnet.preprocess_input(inputs)
x = conv_base_resnet(x)
x = layers.Flatten()(x)
outputs = layers.Dense(70, activation='softmax')(x)
model_base_resnet = keras.Model(inputs, outputs)
In [11]:
model_base_resnet.compile(loss='sparse_categorical_crossentropy',
                  optimizer='rmsprop',
                  metrics=["accuracy"])
In [12]:
import os
if not os.path.exists('saved_model'):
    os.makedirs('saved_model')
In [13]:
callbacks = [
    keras.callbacks.ModelCheckpoint(
        filepath="saved_model/model_base_resnet.h5",
        save_best_only=True,
        monitor="val_loss")
]
In [14]:
history_base_resnet = model_base_resnet.fit(
    train_dataset,
    epochs=30,
    validation_data=validation_dataset,
    callbacks=callbacks)
Epoch 1/30
140/140 [==============================] - 125s 771ms/step - loss: 11.0455 - accuracy: 0.6217 - val_loss: 3.1114 - val_accuracy: 0.8536
Epoch 2/30
140/140 [==============================] - 3s 24ms/step - loss: 1.6365 - accuracy: 0.9208 - val_loss: 3.6170 - val_accuracy: 0.8482
Epoch 3/30
140/140 [==============================] - 4s 28ms/step - loss: 0.6589 - accuracy: 0.9621 - val_loss: 2.0376 - val_accuracy: 0.8982
Epoch 4/30
140/140 [==============================] - 4s 28ms/step - loss: 0.2731 - accuracy: 0.9835 - val_loss: 1.7043 - val_accuracy: 0.9143
Epoch 5/30
140/140 [==============================] - 4s 24ms/step - loss: 0.1689 - accuracy: 0.9920 - val_loss: 2.0511 - val_accuracy: 0.8946
Epoch 6/30
140/140 [==============================] - 3s 24ms/step - loss: 0.1229 - accuracy: 0.9935 - val_loss: 2.0532 - val_accuracy: 0.9071
Epoch 7/30
140/140 [==============================] - 3s 24ms/step - loss: 0.0501 - accuracy: 0.9971 - val_loss: 1.8295 - val_accuracy: 0.9089
Epoch 8/30
140/140 [==============================] - 7s 47ms/step - loss: 0.0066 - accuracy: 0.9996 - val_loss: 1.5101 - val_accuracy: 0.9161
Epoch 9/30
140/140 [==============================] - 4s 29ms/step - loss: 3.1904e-08 - accuracy: 1.0000 - val_loss: 1.5101 - val_accuracy: 0.9179
Epoch 10/30
140/140 [==============================] - 4s 28ms/step - loss: 1.6311e-08 - accuracy: 1.0000 - val_loss: 1.5100 - val_accuracy: 0.9179
Epoch 11/30
140/140 [==============================] - 4s 29ms/step - loss: 1.3172e-08 - accuracy: 1.0000 - val_loss: 1.5098 - val_accuracy: 0.9179
Epoch 12/30
140/140 [==============================] - 4s 29ms/step - loss: 1.1096e-08 - accuracy: 1.0000 - val_loss: 1.5097 - val_accuracy: 0.9179
Epoch 13/30
140/140 [==============================] - 4s 29ms/step - loss: 9.6325e-09 - accuracy: 1.0000 - val_loss: 1.5096 - val_accuracy: 0.9179
Epoch 14/30
140/140 [==============================] - 4s 28ms/step - loss: 8.6214e-09 - accuracy: 1.0000 - val_loss: 1.5095 - val_accuracy: 0.9179
Epoch 15/30
140/140 [==============================] - 4s 28ms/step - loss: 7.8497e-09 - accuracy: 1.0000 - val_loss: 1.5094 - val_accuracy: 0.9179
Epoch 16/30
140/140 [==============================] - 4s 29ms/step - loss: 7.1845e-09 - accuracy: 1.0000 - val_loss: 1.5094 - val_accuracy: 0.9179
Epoch 17/30
140/140 [==============================] - 4s 29ms/step - loss: 6.7321e-09 - accuracy: 1.0000 - val_loss: 1.5093 - val_accuracy: 0.9179
Epoch 18/30
140/140 [==============================] - 4s 29ms/step - loss: 6.1999e-09 - accuracy: 1.0000 - val_loss: 1.5092 - val_accuracy: 0.9161
Epoch 19/30
140/140 [==============================] - 4s 28ms/step - loss: 5.7476e-09 - accuracy: 1.0000 - val_loss: 1.5092 - val_accuracy: 0.9179
Epoch 20/30
140/140 [==============================] - 4s 29ms/step - loss: 5.4283e-09 - accuracy: 1.0000 - val_loss: 1.5091 - val_accuracy: 0.9179
Epoch 21/30
140/140 [==============================] - 4s 29ms/step - loss: 5.1356e-09 - accuracy: 1.0000 - val_loss: 1.5090 - val_accuracy: 0.9179
Epoch 22/30
140/140 [==============================] - 4s 29ms/step - loss: 4.8695e-09 - accuracy: 1.0000 - val_loss: 1.5089 - val_accuracy: 0.9179
Epoch 23/30
140/140 [==============================] - 4s 29ms/step - loss: 4.7098e-09 - accuracy: 1.0000 - val_loss: 1.5089 - val_accuracy: 0.9179
Epoch 24/30
140/140 [==============================] - 4s 29ms/step - loss: 4.3373e-09 - accuracy: 1.0000 - val_loss: 1.5088 - val_accuracy: 0.9179
Epoch 25/30
140/140 [==============================] - 4s 29ms/step - loss: 4.2043e-09 - accuracy: 1.0000 - val_loss: 1.5088 - val_accuracy: 0.9179
Epoch 26/30
140/140 [==============================] - 4s 29ms/step - loss: 4.0446e-09 - accuracy: 1.0000 - val_loss: 1.5087 - val_accuracy: 0.9179
Epoch 27/30
140/140 [==============================] - 4s 29ms/step - loss: 3.9648e-09 - accuracy: 1.0000 - val_loss: 1.5087 - val_accuracy: 0.9179
Epoch 28/30
140/140 [==============================] - 4s 29ms/step - loss: 3.7519e-09 - accuracy: 1.0000 - val_loss: 1.5086 - val_accuracy: 0.9179
Epoch 29/30
140/140 [==============================] - 4s 29ms/step - loss: 3.6189e-09 - accuracy: 1.0000 - val_loss: 1.5086 - val_accuracy: 0.9179
Epoch 30/30
140/140 [==============================] - 4s 29ms/step - loss: 3.4592e-09 - accuracy: 1.0000 - val_loss: 1.5085 - val_accuracy: 0.9179
In [15]:
plot_graph(history_base_resnet)
In [16]:
test_model = keras.models.load_model("saved_model/model_base_resnet.h5")
test_loss, test_acc = test_model.evaluate(test_dataset)
print(f"Test accuracy: {test_acc:.3f}")
print(f"Test loss: {test_loss:.3f}")
18/18 [==============================] - 12s 305ms/step - loss: 2.4228 - accuracy: 0.9125
Test accuracy: 0.913
Test loss: 2.423

Baseline Model 2: Transfer learning of Xception¶

In [18]:
conv_base_xception = keras.applications.xception.Xception(
    weights='imagenet',
    include_top=False,
    input_shape=(224, 224, 3))
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/xception/xception_weights_tf_dim_ordering_tf_kernels_notop.h5
83683744/83683744 [==============================] - 0s 0us/step
In [19]:
conv_base_xception.trainable = False
inputs = keras.Input(shape=(224, 224, 3))
x = keras.applications.xception.preprocess_input(inputs)
x = conv_base_xception(x)
x = layers.Flatten()(x)
outputs = layers.Dense(70, activation='softmax')(x)
model_base_xception = keras.Model(inputs, outputs)
In [20]:
model_base_xception.compile(loss='sparse_categorical_crossentropy',
                  optimizer='rmsprop',
                  metrics=["accuracy"])
In [21]:
callbacks = [
    keras.callbacks.ModelCheckpoint(
        filepath="saved_model/model_base_xception.h5",
        save_best_only=True,
        monitor="val_loss")
]
In [22]:
history_base_xception = model_base_xception.fit(
    train_dataset,
    epochs=30,
    validation_data=validation_dataset,
    callbacks=callbacks)
Epoch 1/30
140/140 [==============================] - 8s 34ms/step - loss: 4.3587 - accuracy: 0.7634 - val_loss: 1.7327 - val_accuracy: 0.9000
Epoch 2/30
140/140 [==============================] - 4s 28ms/step - loss: 1.4758 - accuracy: 0.9107 - val_loss: 1.1571 - val_accuracy: 0.9232
Epoch 3/30
140/140 [==============================] - 4s 24ms/step - loss: 0.9283 - accuracy: 0.9431 - val_loss: 1.4436 - val_accuracy: 0.9143
Epoch 4/30
140/140 [==============================] - 4s 24ms/step - loss: 0.5900 - accuracy: 0.9554 - val_loss: 1.2429 - val_accuracy: 0.9268
Epoch 5/30
140/140 [==============================] - 4s 24ms/step - loss: 0.4136 - accuracy: 0.9710 - val_loss: 1.4464 - val_accuracy: 0.9250
Epoch 6/30
140/140 [==============================] - 5s 34ms/step - loss: 0.2539 - accuracy: 0.9783 - val_loss: 0.8853 - val_accuracy: 0.9339
Epoch 7/30
140/140 [==============================] - 4s 24ms/step - loss: 0.1742 - accuracy: 0.9855 - val_loss: 0.9685 - val_accuracy: 0.9411
Epoch 8/30
140/140 [==============================] - 4s 24ms/step - loss: 0.1323 - accuracy: 0.9873 - val_loss: 0.9970 - val_accuracy: 0.9446
Epoch 9/30
140/140 [==============================] - 4s 24ms/step - loss: 0.1063 - accuracy: 0.9882 - val_loss: 1.1518 - val_accuracy: 0.9446
Epoch 10/30
140/140 [==============================] - 4s 24ms/step - loss: 0.0748 - accuracy: 0.9924 - val_loss: 1.3261 - val_accuracy: 0.9375
Epoch 11/30
140/140 [==============================] - 3s 24ms/step - loss: 0.0537 - accuracy: 0.9940 - val_loss: 1.0819 - val_accuracy: 0.9446
Epoch 12/30
140/140 [==============================] - 4s 24ms/step - loss: 0.0337 - accuracy: 0.9962 - val_loss: 0.9468 - val_accuracy: 0.9500
Epoch 13/30
140/140 [==============================] - 6s 44ms/step - loss: 0.0516 - accuracy: 0.9929 - val_loss: 0.8734 - val_accuracy: 0.9571
Epoch 14/30
140/140 [==============================] - 4s 24ms/step - loss: 0.0361 - accuracy: 0.9940 - val_loss: 0.9657 - val_accuracy: 0.9464
Epoch 15/30
140/140 [==============================] - 4s 24ms/step - loss: 0.0276 - accuracy: 0.9960 - val_loss: 1.0432 - val_accuracy: 0.9571
Epoch 16/30
140/140 [==============================] - 4s 28ms/step - loss: 0.0136 - accuracy: 0.9989 - val_loss: 0.8436 - val_accuracy: 0.9607
Epoch 17/30
140/140 [==============================] - 4s 28ms/step - loss: 1.1761e-07 - accuracy: 1.0000 - val_loss: 0.8429 - val_accuracy: 0.9607
Epoch 18/30
140/140 [==============================] - 4s 28ms/step - loss: 9.7176e-08 - accuracy: 1.0000 - val_loss: 0.8424 - val_accuracy: 0.9607
Epoch 19/30
140/140 [==============================] - 4s 28ms/step - loss: 8.4084e-08 - accuracy: 1.0000 - val_loss: 0.8419 - val_accuracy: 0.9607
Epoch 20/30
140/140 [==============================] - 4s 28ms/step - loss: 7.4718e-08 - accuracy: 1.0000 - val_loss: 0.8415 - val_accuracy: 0.9607
Epoch 21/30
140/140 [==============================] - 4s 28ms/step - loss: 6.7507e-08 - accuracy: 1.0000 - val_loss: 0.8412 - val_accuracy: 0.9607
Epoch 22/30
140/140 [==============================] - 4s 28ms/step - loss: 6.1999e-08 - accuracy: 1.0000 - val_loss: 0.8408 - val_accuracy: 0.9607
Epoch 23/30
140/140 [==============================] - 4s 28ms/step - loss: 5.7316e-08 - accuracy: 1.0000 - val_loss: 0.8406 - val_accuracy: 0.9607
Epoch 24/30
140/140 [==============================] - 4s 28ms/step - loss: 5.3644e-08 - accuracy: 1.0000 - val_loss: 0.8403 - val_accuracy: 0.9607
Epoch 25/30
140/140 [==============================] - 4s 28ms/step - loss: 5.0371e-08 - accuracy: 1.0000 - val_loss: 0.8401 - val_accuracy: 0.9607
Epoch 26/30
140/140 [==============================] - 4s 28ms/step - loss: 4.7524e-08 - accuracy: 1.0000 - val_loss: 0.8399 - val_accuracy: 0.9607
Epoch 27/30
140/140 [==============================] - 4s 28ms/step - loss: 4.5023e-08 - accuracy: 1.0000 - val_loss: 0.8397 - val_accuracy: 0.9607
Epoch 28/30
140/140 [==============================] - 4s 28ms/step - loss: 4.2947e-08 - accuracy: 1.0000 - val_loss: 0.8395 - val_accuracy: 0.9607
Epoch 29/30
140/140 [==============================] - 4s 28ms/step - loss: 4.1084e-08 - accuracy: 1.0000 - val_loss: 0.8393 - val_accuracy: 0.9607
Epoch 30/30
140/140 [==============================] - 4s 28ms/step - loss: 3.9461e-08 - accuracy: 1.0000 - val_loss: 0.8391 - val_accuracy: 0.9607
In [23]:
plot_graph(history_base_xception)
In [24]:
test_model = keras.models.load_model("saved_model/model_base_xception.h5")
test_loss, test_acc = test_model.evaluate(test_dataset)
print(f"Test accuracy: {test_acc:.3f}")
print(f"Test loss: {test_loss:.3f}")
18/18 [==============================] - 1s 22ms/step - loss: 0.7850 - accuracy: 0.9625
Test accuracy: 0.962
Test loss: 0.785

Last but not least, let also perform simple fine-tuning to the above two baseline models and make comparison. The approach and code of fine-tuning basically follows the latter part of the AASD 4015 Project 1.

Fine-tuning Baseline Model 1¶

In [26]:
conv_base_resnet.trainable = True
for layer in conv_base_resnet.layers[:-4]:
    layer.trainable = False
In [27]:
def exponential_decay(lr0, s):
    def exponential_decay_fn(epoch):
        return lr0 * 0.1**(epoch / s) 
    return exponential_decay_fn
In [28]:
exponential_decay_fn = exponential_decay(lr0=0.00001, s=80)
lr_scheduler = keras.callbacks.LearningRateScheduler(exponential_decay_fn)
In [29]:
model_base_resnet.compile(loss="sparse_categorical_crossentropy",
              optimizer="adam",
              metrics=["accuracy"])
In [30]:
callbacks = [
    keras.callbacks.ModelCheckpoint(
        filepath="saved_model/model_base_resnet_fine_tuned.h5",
        save_best_only=True,
        monitor="val_loss"),
        lr_scheduler
]
In [31]:
history_base_resnet_fine_tuned = model_base_resnet.fit(
    train_dataset,
    epochs=30,
    validation_data=validation_dataset,
    callbacks=callbacks)
Epoch 1/30
140/140 [==============================] - 11s 38ms/step - loss: 4.9968e-06 - accuracy: 1.0000 - val_loss: 1.5950 - val_accuracy: 0.9161 - lr: 1.0000e-05
Epoch 2/30
140/140 [==============================] - 4s 26ms/step - loss: 4.5205e-08 - accuracy: 1.0000 - val_loss: 1.6323 - val_accuracy: 0.9179 - lr: 9.7163e-06
Epoch 3/30
140/140 [==============================] - 4s 26ms/step - loss: 4.0126e-08 - accuracy: 1.0000 - val_loss: 1.6271 - val_accuracy: 0.9179 - lr: 9.4406e-06
Epoch 4/30
140/140 [==============================] - 4s 27ms/step - loss: 6.1169e-08 - accuracy: 1.0000 - val_loss: 1.6277 - val_accuracy: 0.9179 - lr: 9.1728e-06
Epoch 5/30
140/140 [==============================] - 4s 26ms/step - loss: 6.0137e-09 - accuracy: 1.0000 - val_loss: 1.6256 - val_accuracy: 0.9179 - lr: 8.9125e-06
Epoch 6/30
140/140 [==============================] - 4s 26ms/step - loss: 5.3218e-10 - accuracy: 1.0000 - val_loss: 1.6253 - val_accuracy: 0.9179 - lr: 8.6596e-06
Epoch 7/30
140/140 [==============================] - 4s 26ms/step - loss: 7.7167e-10 - accuracy: 1.0000 - val_loss: 1.6238 - val_accuracy: 0.9179 - lr: 8.4140e-06
Epoch 8/30
140/140 [==============================] - 4s 26ms/step - loss: 1.3171e-08 - accuracy: 1.0000 - val_loss: 1.6203 - val_accuracy: 0.9179 - lr: 8.1752e-06
Epoch 9/30
140/140 [==============================] - 4s 26ms/step - loss: 1.5966e-10 - accuracy: 1.0000 - val_loss: 1.6200 - val_accuracy: 0.9179 - lr: 7.9433e-06
Epoch 10/30
140/140 [==============================] - 4s 26ms/step - loss: 1.0111e-09 - accuracy: 1.0000 - val_loss: 1.6202 - val_accuracy: 0.9196 - lr: 7.7179e-06
Epoch 11/30
140/140 [==============================] - 4s 26ms/step - loss: 6.1201e-10 - accuracy: 1.0000 - val_loss: 1.6198 - val_accuracy: 0.9196 - lr: 7.4989e-06
Epoch 12/30
140/140 [==============================] - 4s 26ms/step - loss: 4.7897e-10 - accuracy: 1.0000 - val_loss: 1.6200 - val_accuracy: 0.9196 - lr: 7.2862e-06
Epoch 13/30
140/140 [==============================] - 4s 26ms/step - loss: 3.9914e-10 - accuracy: 1.0000 - val_loss: 1.6201 - val_accuracy: 0.9196 - lr: 7.0795e-06
Epoch 14/30
140/140 [==============================] - 4s 26ms/step - loss: 5.8540e-10 - accuracy: 1.0000 - val_loss: 1.6207 - val_accuracy: 0.9196 - lr: 6.8786e-06
Epoch 15/30
140/140 [==============================] - 4s 26ms/step - loss: 1.5460e-08 - accuracy: 1.0000 - val_loss: 1.6198 - val_accuracy: 0.9196 - lr: 6.6834e-06
Epoch 16/30
140/140 [==============================] - 4s 26ms/step - loss: 3.4592e-10 - accuracy: 1.0000 - val_loss: 1.6204 - val_accuracy: 0.9196 - lr: 6.4938e-06
Epoch 17/30
140/140 [==============================] - 4s 26ms/step - loss: 2.9270e-10 - accuracy: 1.0000 - val_loss: 1.6208 - val_accuracy: 0.9196 - lr: 6.3096e-06
Epoch 18/30
140/140 [==============================] - 4s 26ms/step - loss: 1.5965e-09 - accuracy: 1.0000 - val_loss: 1.6182 - val_accuracy: 0.9196 - lr: 6.1306e-06
Epoch 19/30
140/140 [==============================] - 4s 26ms/step - loss: 3.1931e-10 - accuracy: 1.0000 - val_loss: 1.6185 - val_accuracy: 0.9196 - lr: 5.9566e-06
Epoch 20/30
140/140 [==============================] - 4s 26ms/step - loss: 5.0557e-09 - accuracy: 1.0000 - val_loss: 1.6145 - val_accuracy: 0.9196 - lr: 5.7876e-06
Epoch 21/30
140/140 [==============================] - 4s 26ms/step - loss: 5.8540e-10 - accuracy: 1.0000 - val_loss: 1.6147 - val_accuracy: 0.9196 - lr: 5.6234e-06
Epoch 22/30
140/140 [==============================] - 4s 26ms/step - loss: 2.1287e-10 - accuracy: 1.0000 - val_loss: 1.6145 - val_accuracy: 0.9196 - lr: 5.4639e-06
Epoch 23/30
140/140 [==============================] - 4s 27ms/step - loss: 4.7897e-10 - accuracy: 1.0000 - val_loss: 1.6145 - val_accuracy: 0.9196 - lr: 5.3088e-06
Epoch 24/30
140/140 [==============================] - 4s 26ms/step - loss: 9.8454e-10 - accuracy: 1.0000 - val_loss: 1.6172 - val_accuracy: 0.9196 - lr: 5.1582e-06
Epoch 25/30
140/140 [==============================] - 4s 26ms/step - loss: 1.1176e-09 - accuracy: 1.0000 - val_loss: 1.6151 - val_accuracy: 0.9196 - lr: 5.0119e-06
Epoch 26/30
140/140 [==============================] - 4s 26ms/step - loss: 2.1287e-10 - accuracy: 1.0000 - val_loss: 1.6154 - val_accuracy: 0.9196 - lr: 4.8697e-06
Epoch 27/30
140/140 [==============================] - 4s 26ms/step - loss: 3.7253e-10 - accuracy: 1.0000 - val_loss: 1.6141 - val_accuracy: 0.9196 - lr: 4.7315e-06
Epoch 28/30
140/140 [==============================] - 4s 26ms/step - loss: 4.2575e-10 - accuracy: 1.0000 - val_loss: 1.6138 - val_accuracy: 0.9196 - lr: 4.5973e-06
Epoch 29/30
140/140 [==============================] - 4s 26ms/step - loss: 1.5966e-10 - accuracy: 1.0000 - val_loss: 1.6135 - val_accuracy: 0.9196 - lr: 4.4668e-06
Epoch 30/30
140/140 [==============================] - 4s 26ms/step - loss: 1.3305e-10 - accuracy: 1.0000 - val_loss: 1.6129 - val_accuracy: 0.9196 - lr: 4.3401e-06
In [32]:
plot_graph(history_base_resnet_fine_tuned)
In [33]:
test_model = keras.models.load_model("saved_model/model_base_resnet_fine_tuned.h5")
test_loss, test_acc = test_model.evaluate(test_dataset)
print(f"Test accuracy: {test_acc:.3f}")
print(f"Test loss: {test_loss:.3f}")
18/18 [==============================] - 1s 20ms/step - loss: 2.4429 - accuracy: 0.9161
Test accuracy: 0.916
Test loss: 2.443

Fine-tuning Baseline Model 2¶

In [35]:
conv_base_xception.trainable = True
for layer in conv_base_xception.layers[:-4]:
    layer.trainable = False
In [36]:
model_base_xception.compile(loss="sparse_categorical_crossentropy",
              optimizer="adam",
              metrics=["accuracy"])
In [37]:
callbacks = [
    keras.callbacks.ModelCheckpoint(
        filepath="saved_model/model_base_xception_fine_tuned.h5",
        save_best_only=True,
        monitor="val_loss"),
        lr_scheduler
]
In [38]:
history_base_xception_fine_tuned = model_base_xception.fit(
    train_dataset,
    epochs=30,
    validation_data=validation_dataset,
    callbacks=callbacks)
Epoch 1/30
140/140 [==============================] - 10s 38ms/step - loss: 0.0041 - accuracy: 0.9989 - val_loss: 0.6935 - val_accuracy: 0.9554 - lr: 1.0000e-05
Epoch 2/30
140/140 [==============================] - 5s 33ms/step - loss: 0.0019 - accuracy: 0.9996 - val_loss: 0.6461 - val_accuracy: 0.9518 - lr: 9.7163e-06
Epoch 3/30
140/140 [==============================] - 5s 33ms/step - loss: 6.3873e-04 - accuracy: 0.9998 - val_loss: 0.6383 - val_accuracy: 0.9536 - lr: 9.4406e-06
Epoch 4/30
140/140 [==============================] - 4s 29ms/step - loss: 6.9924e-06 - accuracy: 1.0000 - val_loss: 0.6401 - val_accuracy: 0.9536 - lr: 9.1728e-06
Epoch 5/30
140/140 [==============================] - 5s 33ms/step - loss: 1.8486e-04 - accuracy: 1.0000 - val_loss: 0.6242 - val_accuracy: 0.9536 - lr: 8.9125e-06
Epoch 6/30
140/140 [==============================] - 5s 34ms/step - loss: 4.0413e-04 - accuracy: 0.9998 - val_loss: 0.6088 - val_accuracy: 0.9554 - lr: 8.6596e-06
Epoch 7/30
140/140 [==============================] - 5s 34ms/step - loss: 1.9230e-04 - accuracy: 1.0000 - val_loss: 0.6086 - val_accuracy: 0.9554 - lr: 8.4140e-06
Epoch 8/30
140/140 [==============================] - 4s 29ms/step - loss: 7.4210e-05 - accuracy: 1.0000 - val_loss: 0.6146 - val_accuracy: 0.9554 - lr: 8.1752e-06
Epoch 9/30
140/140 [==============================] - 4s 29ms/step - loss: 1.3073e-05 - accuracy: 1.0000 - val_loss: 0.6163 - val_accuracy: 0.9554 - lr: 7.9433e-06
Epoch 10/30
140/140 [==============================] - 6s 41ms/step - loss: 1.0823e-04 - accuracy: 1.0000 - val_loss: 0.6083 - val_accuracy: 0.9554 - lr: 7.7179e-06
Epoch 11/30
140/140 [==============================] - 4s 29ms/step - loss: 2.0133e-05 - accuracy: 1.0000 - val_loss: 0.6104 - val_accuracy: 0.9571 - lr: 7.4989e-06
Epoch 12/30
140/140 [==============================] - 4s 29ms/step - loss: 3.0681e-05 - accuracy: 1.0000 - val_loss: 0.6179 - val_accuracy: 0.9571 - lr: 7.2862e-06
Epoch 13/30
140/140 [==============================] - 4s 28ms/step - loss: 6.5028e-06 - accuracy: 1.0000 - val_loss: 0.6158 - val_accuracy: 0.9571 - lr: 7.0795e-06
Epoch 14/30
140/140 [==============================] - 6s 40ms/step - loss: 3.5829e-04 - accuracy: 0.9998 - val_loss: 0.5889 - val_accuracy: 0.9589 - lr: 6.8786e-06
Epoch 15/30
140/140 [==============================] - 4s 28ms/step - loss: 3.9770e-04 - accuracy: 0.9998 - val_loss: 0.6047 - val_accuracy: 0.9571 - lr: 6.6834e-06
Epoch 16/30
140/140 [==============================] - 4s 28ms/step - loss: 1.9853e-05 - accuracy: 1.0000 - val_loss: 0.6073 - val_accuracy: 0.9589 - lr: 6.4938e-06
Epoch 17/30
140/140 [==============================] - 4s 29ms/step - loss: 8.6552e-06 - accuracy: 1.0000 - val_loss: 0.6099 - val_accuracy: 0.9571 - lr: 6.3096e-06
Epoch 18/30
140/140 [==============================] - 4s 28ms/step - loss: 7.5816e-06 - accuracy: 1.0000 - val_loss: 0.6092 - val_accuracy: 0.9589 - lr: 6.1306e-06
Epoch 19/30
140/140 [==============================] - 4s 28ms/step - loss: 5.2687e-06 - accuracy: 1.0000 - val_loss: 0.6116 - val_accuracy: 0.9589 - lr: 5.9566e-06
Epoch 20/30
140/140 [==============================] - 4s 28ms/step - loss: 3.4365e-06 - accuracy: 1.0000 - val_loss: 0.6136 - val_accuracy: 0.9589 - lr: 5.7876e-06
Epoch 21/30
140/140 [==============================] - 4s 28ms/step - loss: 6.9286e-05 - accuracy: 1.0000 - val_loss: 0.6070 - val_accuracy: 0.9589 - lr: 5.6234e-06
Epoch 22/30
140/140 [==============================] - 4s 29ms/step - loss: 7.8285e-06 - accuracy: 1.0000 - val_loss: 0.6092 - val_accuracy: 0.9589 - lr: 5.4639e-06
Epoch 23/30
140/140 [==============================] - 4s 29ms/step - loss: 9.5649e-06 - accuracy: 1.0000 - val_loss: 0.6108 - val_accuracy: 0.9589 - lr: 5.3088e-06
Epoch 24/30
140/140 [==============================] - 4s 28ms/step - loss: 1.8031e-06 - accuracy: 1.0000 - val_loss: 0.6095 - val_accuracy: 0.9589 - lr: 5.1582e-06
Epoch 25/30
140/140 [==============================] - 4s 28ms/step - loss: 8.5545e-06 - accuracy: 1.0000 - val_loss: 0.6099 - val_accuracy: 0.9589 - lr: 5.0119e-06
Epoch 26/30
140/140 [==============================] - 4s 28ms/step - loss: 1.6815e-05 - accuracy: 1.0000 - val_loss: 0.6127 - val_accuracy: 0.9589 - lr: 4.8697e-06
Epoch 27/30
140/140 [==============================] - 4s 29ms/step - loss: 2.5206e-05 - accuracy: 1.0000 - val_loss: 0.6034 - val_accuracy: 0.9589 - lr: 4.7315e-06
Epoch 28/30
140/140 [==============================] - 4s 28ms/step - loss: 3.0857e-06 - accuracy: 1.0000 - val_loss: 0.6025 - val_accuracy: 0.9589 - lr: 4.5973e-06
Epoch 29/30
140/140 [==============================] - 4s 29ms/step - loss: 1.4250e-06 - accuracy: 1.0000 - val_loss: 0.6036 - val_accuracy: 0.9589 - lr: 4.4668e-06
Epoch 30/30
140/140 [==============================] - 4s 29ms/step - loss: 3.3125e-06 - accuracy: 1.0000 - val_loss: 0.6050 - val_accuracy: 0.9589 - lr: 4.3401e-06
In [39]:
plot_graph(history_base_xception_fine_tuned)
In [40]:
test_model = keras.models.load_model("saved_model/model_base_xception_fine_tuned.h5")
test_loss, test_acc = test_model.evaluate(test_dataset)
print(f"Test accuracy: {test_acc:.3f}")
print(f"Test loss: {test_loss:.3f}")
18/18 [==============================] - 1s 21ms/step - loss: 0.6438 - accuracy: 0.9625
Test accuracy: 0.962
Test loss: 0.644

7. Summary and Discussion¶

Model Test Accuracy
Hybrid CNN Classifer 0.939
Baseline Model 1: Transfer learning of ResNet50 0.913
Baseline Model 2: Transfer learning of Xception 0.962
Baseline Model 1 after Fine-tuning 0.916
Baseline Model 2 after Fine-tuning 0.962

The test accuracy of hybrid CNN classifer is 0.939 that is at the middle among all the 5 models' test accuracy. Moreover, the fine-tuning is not customized. The approach is from the AASD 4015 Project 1 for simplicity. Although this hybrid CNN classifer is not an outstanding model, there are still some advantages I would like to mention.

First, this hybrid CNN classifer can identify images that do not belong to the 70 classes. In Section 5, the hybrid CNN classifer can successfully identify that the image of human does not belong to the 70 classes. For traditional classification models, they will classify the image of human as one of 70 classes.

Second, this hybrid CNN classifer is built without using GPU but this model also use CNN. This may be an alternative for somebody who don't have a laptop with GPU or don't want to pay to use Colab.

Next, I want to mention some possible improvement. We may do hyper-parameter tuning to find out the best setting of this hybrid CNN classifer and also introduce more pre-trained models. Only ResNet50 and Xception are used in this hybrid CNN classifer. Third model like InceptionV3 may be a good choice to introduced.